Author Archives: Maryse de la Giroday

2019 Canadian Science Policy Conference (Nov.13 – 16, 2019 in Ottawa, Canada) celebrates its 10th year

Congratulations to the folks at the Canadian Science Policy Centre who’ve worked for 10 years to produce an annual, national Canadian Science Policy Conference! That’s a lot of blood, sweat, tears, and determination.

Here are highlights from the 2019 programme as noted in a July 10, 2019 CSPC announcement (received via email),

Theme: Science and Policy

Bringing the Social Sciences into New Policy Spaces: Solution-oriented case studies and dialogue

Organized by Natural Resources Canada

Evidence in Practice: How do decision-makers obtain and use information?
Organized by Evidence for Democracy

Fishing for Open Science Innovation–Should Canada join cOAlition/Plan S?
Organized by Natural Sciences and Engineering Research Council | Social Sciences and Humanities Research Council | Canadian Institutes of Health Research

How the Sciences of Human Behaviour Can Help us Put Knowledge at the Heart of Policymaking
Organized by European Commission – Joint Research Centre

International Research Collaboration in a Polarized World
Organized by Office of the Vice-President, Research & Innovation, University of Toronto

Mapping Dynamic Research Ecosystems: Tapping into new indicators, big data, and emerging technologies
Organized by Natural Sciences and Engineering Research Council

Municipalities: Terrain for innovation
Organized by Fonds de recherche du Québec

National Inuit Strategy on Research (NISR) in Action: Developing an Inuit Nunangat research policy
Organized by Inuit Tapiriit Kanatami

Not a Palaver! How can interdisciplinary, intersectoral and international collaboration be successful?
Organized by UK Research and Innovation

Policy Lessons in the Age of Technological Disruption
Organized by Spindle Strategy Corp.

Precision Policy- Advances in big data analytics and government policy
Organized by Simon Fraser University

Risk, Uncertainty, Unknowns, and Nonsense – Engagement with the public on radiation, nuclear, and climate [sic]
Organized by Centre for the Study of Science and Innovation Policy (CSIP), University of Saskatchewan

The Influence of Indigenous Knowledge on Policy and Practice
Organized by Federation for the Humanities and Social Sciences and Genome British Columbia

The PROMISE OF SCIENCE and Its Implications for Science Policy: Perspectives of Canada’s STI community
Organized by VISTA Science & Technology Inc.

Towards a National Approach to Responsible AI
Organized by Queen’s University

Understanding and Addressing the Challenges for Collaborative Federal Science
Organized by Public Services and Procurement Canada
Theme: Science and Society

Artificial Intelligence – How interdisciplinary AI contributes to resilient and just societies
Organized by Economic and Social Research Council (ESRC)

Convergence Science and Tackling Grand Challenges
Organized by Privy Council Office

Creating SciComm: An interactive session connecting scientists, policy makers and the public
Organized by Pixels and Plans | Art the Science

Eating Right, Living Better: Building healthier food systems worldwide
Organized by International Development Research Centre (IDRC)

Fighting the Opioid Crisis by Reducing Stigma in the Media and Using Media to Reduce Stigma
Organized by Carleton University

Harnessing the Power of the Crowd: Innovative solutions to engaging communities in research
Organized by MEOPAR/Fathom Fund

Making Science Communication Happen – Moving from good intentions to getting the job done
Organized by NIVA

Scientists in the Public Space: When discussion turns into a media storm
Organized by Fonds de recherche du Québec

The Public Record: Enabling scientists to be honest brokers of evidence & information in an age of popular misinformation
Organized by  Alberta Environment and Parks – Office of the Chief Scientist
Theme: Science, Innovation, and Economic Development

A Winning Formula for Building Regional Innovation Capacity: Skills, research and collaboration
Organized by Colleges and Institutes Canada / National Alliance of Provincial Health Research Organizations

AI as an Enabler of Innovative Competitiveness
Organized by National Research Council Canada

Examining the Role of Data Trusts in Smart Cities Governance
Organized by Compute Ontario

Ontario-First in the Innovation Economy: Impacts of a $1B public-private-partnership on Canadian healthcare commercialization
Organized by FACIT

Open Science is Transforming the Research Landscape
Organized by The Neuro – Montreal Neurological Institute and Hospital

Supports for Women Entrepreneurs: Discussion on existing knowledge, research and innovative methods to dismantle barriers
Organized by Ryerson University

Toward a Quantum Strategy for Canada
Organized by National Research Council Canada

Whose Facts actually Matter? How to truly embrace inclusiveness in science, innovation and policy
Organized by University of Ottawa, Institute for Science, Society and Policy  
Theme: Science and International Affairs

Artificial Intelligence: Building resilience against cyber threats 
Organized  by Simon Fraser University

Lines in the Sand: The struggle for national security in a world [sic]
Organized by David Johnston Research and Technology Park, University of Waterloo

Personhood Rights for Water Bodies: A fad or a path to sustainable development goals?
Organized by University of Waterloo

Research Without Borders: Funding agency case studies on international collaboration
Organized by UK Research and Innovation

Science Diplomacy in a Changing Arctic
Organized by Embassy of Switzerland
Theme: Science and the Next Generation

Empowering Youth Through Self-led and Experiential Learning

Organized by Ingenium – Canada’s Museums of Science and Innovation

SING’ing Indigenous Technoscience: An encounter with the summer internship for Indigenous peoples in Genomics Canada
Organized by University of Alberta

The Role of the Next Generation in Science Diplomacy 
Organized by Fonds de recherche du Québec

What Future for Young Science Policy Practitioners?
Organized by American Association for the Advancement of Science

What Would an Inclusive Innovation Agenda for a New Generation of Indigenous Children in Canada Look Like?
Organized by Ulnooweg – Digital Mikmaq
Short Talks 

Global Governance and Emerging ‘High-Risk’ Technologies

Journal of Science Policy & Governance: Engaging students & early career researchers in S&T policy

Mapping Diversity in Post-Disaster Emergency Assistance

Mobilizing Change from Within: A case study on gender equity and internal research funding

Translating Research to Impact Policy – Our journey in concussion policy in canada [sic]

Why Pro-LGBT Policies Can Turn Out to be Innovation Policies? Evidence-based arguments to support diversity in Canada

Wikipedia Editing & Edit-A-Thons: A form of science advocacy  
View CSPC 2019 Program


It looks like a good programme. I’m particularly excited about the artificial intelligence (AI) sessions and heartened to see more participation from the indigenous community as it continues to organize. For so long, the thought of indigenous science was rejected so it’s good to see these small steps toward recognition and respect.

Also, there are a couple of countries and regions represented at this conference that suggest Canadian policymakers (or policymakers in training) might be opening the door to welcome more than just our US, UK, and European neighbours into the discussion. There’s someone from Chile and someone from the Caribbean (specifically, Barbados) in addition to the sprinkling of Americans, Brits, and Europeans at this year’s conference.

One thing I wasn’t expecting to see was representation by the RCMP (Royal Canadian Mounted Police). Of course, the member (Susheel Gupta) will be on the panel discussing national security. Hopefully this participation is part of a new direction for the RCMP’s public outreach. They definitely need some positive news given the current state of their reputation in Canada.

What’s missing?

The most puzzling thing about this programme is CRISPR and germline editing. Not a single session touches on the subject. Given that the news about the CRISPR twins broke in November 2018 (see my November 28, 2018 posting) and the international furor that followed, I’d expect we’d be discussing it.

Especially in light of the interest in changing the rules in Canada on germline editing. Currently there’s a ban on it and as I noted in my April 26, 2019 posting, there seems to be a campaign to change to lift or alter that ban..

It seems like a glaring omission but perhaps no one made the suggestion and no one organizing committee was able to assemble a panel.

Plus this year too, there’s no mention of the Phoenix Pay System failure. Sure, there’s talk about big data (a panel on Precision Policy) and the previously noted AI sessions but where’s the talk about the failures, specifically, Phoenix, a digital/technology failure.

The Canadian government’s new pay system was an astonishing debacle from when it was first implemented in early 2016 and the saga continues. In the three years since I don’t recall a single session at a Canadian Science Policy Conference where failure of major digital projects and the implications have been discussed. Meanwhile, the Canadian government continues on its merry drive towards more data collection and implementation of AI and other technologies. Shouldn’t we be considering the social and policy implications of this drive and what happens when there’s a failure? I gather the answer is no.

For anyone unfamiliar with the Phoenix failure, it affected every pay system in the Canadian federal government. In a bid to cut costs by centralizing, updating, and further digitizing the system, Phoenix was implemented despite warnings that it wasn’t ready. As I understand it, government employees (273,571 in 2018), to this day, still don’t know if they will get a pay cheque or if they will get the right amount in their pay cheque in any given month.


Bravo! There are lots of good things happening with the Canadian Science Policy Conferences.

Register here and take advantage of the early bird discount (until August 31,2019).

Science inspired by superheroes, Ant-Man and the Wasp

It’s interesting to see scientists take science fiction and use it as inspiration; something which I think happens more often than we know. After all, when someone asks where you got an idea, it can be difficult to track down the thought process that started it all.

Scientists at Virginia Tech (Virginia Polytechnic Institute and State University) are looking for a new source of inspiration after offering a close examination of how insect-size superheroes, Ant-Man and the Wasp might breathe. From a December 11, 2018 news item on (Note: A link has been removed),

Max Mikel-Stites and Anne Staples were searching for a sequel.

This summer, Staples, an associate professor in the Department of Biomedical Engineering and Mechanics in the College of Engineering, and graduate student Mikel-Stites published a paper in the inaugural issue of the Journal of Superhero Science titled, “Ant-Man and the Wasp: Microscale Respiration and Microfluidic Technology.”

Now, they needed a new hero.

The two were working with a team of graduate students, brainstorming who could be the superhero subject for their next scientific inquiry. Superman? Batgirl? Aquaman?

Mikel-Stites lobbied for an investigation of Dazzler’s sonoluminescent powers. Staples was curious how Mera, The Princes sof Atlantis, used her hydrokinetic powers.

It turns out, comic books are a great inspiration for scientific discovery.

This month, Mikel-Stites is presenting the findings of their paper at the American Physical Society’s Division of Fluid Dynamics meeting.

The wonder team’s paper looked at how Ant-Man and the Wasp breathe when they shrink down to insect-size and Staples’ lab studied how fluids flow in nature. Insects naturally move fluids and gases efficiently at tiny scales. If engineers can learn how insects breathe, they can use the knowledge to invent new microfluidic technologies.

A November 2018 Virginia Tech news release (also on EurekAlert but published on December 11, 2018) by Nancy Dudek describes the ‘Ant-Man and Wasp respiratory project’ before revealing the inspiration for the team’s new project,

“Before the 2018 ‘Ant-Man and the Wasp’ movie, my lab was already wondering about insect-scale respiration,” said Staples. “I wanted to get people to appreciate different breathing mechanisms.”

For most of Mikel-Stites’ life, he had been nit-picking at the “science” in science-fiction movies.

“I couldn’t watch ‘Armageddon’ once they got up to space station Mir and there was artificial gravity. Things like that have always bothered me. But for ‘Ant-Man and the Wasp’ it was worse,” he said.

Staples and Mikel-Stites decided to join forces to research Ant-Man’s microscale respiration.

Mikel-Stites was stung by what he dubbed “the altitude problem or death-zone dilemma.” For Ant-Man and the Wasp to shrink down to insect size and still breathe, they would have to overcome an atmospheric density similar to the top of Mt. Everest. Their tiny bodies would also require higher metabolisms. For their survival, the Marvel comic universe had to give Ant-Man and the Wasp superhero technologies.

“I thought it would be fun to find a solution for how this small-scale respiration would work,”said Mikel-Stites.”I started digging through Ant-Man’s history. I looped through scenes in the 2015 movie where we could address the physics. Then I did the same thing with trailers from the 2018 movie. I used that to make a list of problems and a list of solutions.”

Ant-Man and the Wasp solve the altitude problem with their superhero suits. In their publication, Mikel-Stites and Staples write that the masks in Ant-Man and the Wasp’s suits contain “a combination of an air pump, a compressor, and a molecular filter including Pym particle technology,” that allows them to breathe while they are insect-sized.

“This publication showed how different physics phenomena can dominate at different size scales, how well-suited organisms are for their particular size, and what happens when you start altering that,” said Mikel-Stites. “It also shows that Hollywood doesn’t always get it right when it comes to science!”

Their manuscript was accepted by the Journal of Superhero Science before the release of the sequel, “Ant-Man and the Wasp.” Mikel-Stites was concerned the blockbuster might include new technologies or change Ant-Man’s canon. If the Marvel comic universe changed between the 2015 ‘Ant-Man’ movie and the sequel, their hypotheses would be debunked and they would be forced to retract their paper.

“I went to the 2018 movie before the manuscript came out in preprint so that if the movie contradicted us we could catch it. But the 2018 movie actually supported everything we had said, which was really nice,” said Mikel-Stites. Most moviegoers simply watched the special effects and left the theater entertained. But Mikel-Stitesleft the movie with confirmation of the paper’s hypotheses.

The Staples lab members are not the only ones interested in tiny technologies. From lab-on-a-chip microfluidic devices to nanoparticles that deliver drugs directly to cells, consumers will ultimately benefit from this small scientific field that delivers big results.

“In both the movies and science, shrinking is a common theme and has been for the last 50-60 years. This idea is something that we all like to think about. Given enough time, we can reach the point where science can take it from the realms of magic into something that we actually have an explanation for,” Mikel-Stites said.

In fact, the Staples lab group has already done just that.

While Mikel-Stites is presenting his superhero science at the APS meeting, his colleague Krishnashis Chatterjee, who recently completed his Ph.D. in engineering mechanics will be presenting his research on fabricating and testing four different insect-inspired micro-fluidic devices.

From fiction to function, the Staples lab likes to have fun along the way.

“I think that it is really important to connect with people and be engaged in science with topics they already know about. With this superhero science paper I wanted to support this mission,” Staples said.

And who did the lab mates choose for their next superhero science subject? The Princess of Atlantis, Mera. They hope they can publish another superhero science paper that really makes waves.

Here’s a link to and a citation for the paper,

Ant-Man and The Wasp: Microscale Respiration and Microfluidic Technology by Anne Staples and Maxwell Mikel-Stites. Superhero Science and Technology (SST) Vol 1 No 1 (2018): July 2018 ISSN 2588-7637

This paper is open access.

And, just because the idea of a superhero science journal tickles my fancy, here’s a little more from the journal’s About webpage,

Serial title
Superhero Science and Technolog

Focus and Scope
Superhero Science and Technology (SST) is multi-disciplinary journal that considers new research in the fields of science, technology, engineering and ethics motivated and presented using the superhero genre.

The superhero genre has become one of the most popular in modern cinema. Since the 2000 film X-Men, numerous superhero-themed films based on characters from Marvel Comics and DC Comics have been released. Films such as The Avengers, Iron Man 3, Avengers: Age of Ultron and Captain America: Civil War have all earned in excess of $1 billion dollars at the box office, thus demonstrating their relevance in modern society and popular culture.

Of particular interest for Superhero Science and Technology are articles that motivate new research by using the platform of superheroes, supervillains, their superpowers, superhero/supervillain exploits in Hollywood blockbuster films or superhero/supervillain adventures from comic books. Articles should be written in a manner so that they are accessible to both the academic community and the interested non-scientist i.e. general public, given the popularity of the superhero genre.

Dissemination of content using this approach provides a potential for the researcher to communicate their work to a larger audience, thus increasing their visibility and outreach within and outside of the academic domain.

The scope of the journal includes but is not limited to:
Genetic editing approaches;
Innovations in the field of robotics;
New and advanced materials;
Additive Manufacturing i.e. 3D printing, for both bio and non-bio applications;
Advancements in bio-chemical processing;
Biomimicry technologies;
Space physics, astrophysical and cosmological research;
Developments in propulsion systems;
Responsible innovation;
Ethical issues pertaining to technologies and their use for human enhancement or augmentation.

Open Access Policy
SST is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. You are free to use the work, but you have to attribute (refer to) the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). The easiest way to refer to an article is to use the HOWTO CITE tool that you’ll find alongside each article in the right sidebar.

I also looked up the editorial team, from the journal’s Editorial Team webpage,

Dr. Barry W. Fitzgerald, TU Delft, the Netherlands
Editorial Board
Prof. Wim Briels, University of Twente, the Netherlands
Dr. Ian Clancy, University of Limerick, Ireland
Dr. Neil Clancy, University College London, UK
Dr. Tom Hunt, University of Kent, UK
Ass. Prof. Johan Padding, TU Delft, the Netherlands
Ass. Prof. Aimee van Wynsberghe, TU Delft, the Netherlands
Prof. Ilja Voets, TU Eindhoven, the Netherlands

For anyone unfamiliar with the abbreviation, TU stands for University of Technology or Technische Universiteit in Dutch.

Ouchies no more! Not from bandages, anyway.

An adhesive that US and Chinese scientists have developed shows great promise not just for bandages but wearable robotics too. From a December 14, 2018 news item on Nanowerk,

Researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and Xi’an Jiaotong University in China have developed a new type of adhesive that can strongly adhere wet materials — such as hydrogel and living tissue — and be easily detached with a specific frequency of light.

The adhesives could be used to attach and painlessly detach wound dressings, transdermal drug delivery devices, and wearable robotics.

A December 18, 2018 SEAS news release by Leah Burrows (also on EurekAlert but published Dec. 14, 2018), which originated the news item, delves further,

“Strong adhesion usually requires covalent bonds, physical interactions, or a combination of both,” said Yang Gao, first author of the paper and researcher at Xi’an Jiaotong University. “Adhesion through covalent bonds is hard to remove and adhesion through physical interactions usually requires solvents, which can be time-consuming and environmentally harmful. Our method of using light to trigger detachment is non-invasive and painless.”

The adhesive uses an aqueous solution of polymer chains spread between two, non-sticky materials — like jam between two slices of bread. On their own, the two materials adhere poorly together but the polymer chains act as a molecular suture, stitching the two materials together by forming a network with the two preexisting polymer networks. This process is known as topological entanglement.

When exposed to ultra-violet light, the network of stitches dissolves, separating the two materials.

The researchers, led by Zhigang Suo, the Allen E. and Marilyn M. Puckett Professor of Mechanics and Materials at SEAS, tested adhesion and detachment on a range of materials, sticking together hydrogels; hydrogels and organic tissue; elastomers; hydrogels and elastomers; and hydrogels and inorganic solids.

“Our strategy works across a range of materials and may enable broad applications,” said Kangling Wu, co-lead author and researcher at Xi’an Jiaotong University in China.
While the researchers focused on using UV light to trigger detachment, their work suggests the possibility that the stitching polymer could detach with near-infrared light, a feature which could be applied to a range of new medical procedures.

“In nature, wet materials don’t like to adhere together,” said Suo. “We have discovered a general approach to overcome this challenge. Our molecular sutures can strongly adhere wet materials together. Furthermore, the strong adhesion can be made permanent, transient, or detachable on demand, in response to a cue. So, as we see it, nature is full of loopholes, waiting to be stitched.”

Here’s a link to and  a citation for the paper,

Photodetachable Adhesion by Yang Gao, Kangling Wu, Zhigang Suo. First published: 14 December 2018

This paper is behind a paywall.

Memristors with better mimicry of synapses

It seems to me it’s been quite a while since I’ve stumbled across a memristor story from the University of Micihigan but it was worth waiting for. (Much of the research around memristors has to do with their potential application in neuromorphic (brainlike) computers.) From a December 17, 2018 news item on ScienceDaily,

A new electronic device developed at the University of Michigan can directly model the behaviors of a synapse, which is a connection between two neurons.

For the first time, the way that neurons share or compete for resources can be explored in hardware without the need for complicated circuits.

“Neuroscientists have argued that competition and cooperation behaviors among synapses are very important. Our new memristive devices allow us to implement a faithful model of these behaviors in a solid-state system,” said Wei Lu, U-M professor of electrical and computer engineering and senior author of the study in Nature Materials.

A December 17, 2018 University of Michigan news release (also on EurekAlert), which originated the news item, provides an explanation of memristors and their ‘similarity’ to synapses while providing more details about this latest research,

Memristors are electrical resistors with memory–advanced electronic devices that regulate current based on the history of the voltages applied to them. They can store and process data simultaneously, which makes them a lot more efficient than traditional systems. They could enable new platforms that process a vast number of signals in parallel and are capable of advanced machine learning.

The memristor is a good model for a synapse. It mimics the way that the connections between neurons strengthen or weaken when signals pass through them. But the changes in conductance typically come from changes in the shape of the channels of conductive material within the memristor. These channels–and the memristor’s ability to conduct electricity–could not be precisely controlled in previous devices.

Now, the U-M team has made a memristor in which they have better command of the conducting pathways.They developed a new material out of the semiconductor molybdenum disulfide–a “two-dimensional” material that can be peeled into layers just a few atoms thick. Lu’s team injected lithium ions into the gaps between molybdenum disulfide layers.
They found that if there are enough lithium ions present, the molybdenum sulfide transforms its lattice structure, enabling electrons to run through the film easily as if it were a metal. But in areas with too few lithium ions, the molybdenum sulfide restores its original lattice structure and becomes a semiconductor, and electrical signals have a hard time getting through.

The lithium ions are easy to rearrange within the layer by sliding them with an electric field. This changes the size of the regions that conduct electricity little by little and thereby controls the device’s conductance.

“Because we change the ‘bulk’ properties of the film, the conductance change is much more gradual and much more controllable,” Lu said.

In addition to making the devices behave better, the layered structure enabled Lu’s team to link multiple memristors together through shared lithium ions–creating a kind of connection that is also found in brains. A single neuron’s dendrite, or its signal-receiving end, may have several synapses connecting it to the signaling arms of other neurons. Lu compares the availability of lithium ions to that of a protein that enables synapses to grow.

If the growth of one synapse releases these proteins, called plasticity-related proteins, other synapses nearby can also grow–this is cooperation. Neuroscientists have argued that cooperation between synapses helps to rapidly form vivid memories that last for decades and create associative memories, like a scent that reminds you of your grandmother’s house, for example. If the protein is scarce, one synapse will grow at the expense of the other–and this competition pares down our brains’ connections and keeps them from exploding with signals.
Lu’s team was able to show these phenomena directly using their memristor devices. In the competition scenario, lithium ions were drained away from one side of the device. The side with the lithium ions increased its conductance, emulating the growth, and the conductance of the device with little lithium was stunted.

In a cooperation scenario, they made a memristor network with four devices that can exchange lithium ions, and then siphoned some lithium ions from one device out to the others. In this case, not only could the lithium donor increase its conductance–the other three devices could too, although their signals weren’t as strong.

Lu’s team is currently building networks of memristors like these to explore their potential for neuromorphic computing, which mimics the circuitry of the brain.

Here’s a link to and a citation for the paper,

Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing by Xiaojian Zhu, Da Li, Xiaogan Liang, & Wei D. Lu. Nature Materials (2018) DOI: Published 17 December 2018

This paper is behind a paywall.

The researchers have made images illustrating their work available,

A schematic of the molybdenum disulfide layers with lithium ions between them. On the right, the simplified inset shows how the molybdenum disulfide changes its atom arrangements in the presence and absence of the lithium atoms, between a metal (1T’ phase) and semiconductor (2H phase), respectively. Image credit: Xiaojian Zhu, Nanoelectronics Group, University of Michigan.

A diagram of a synapse receiving a signal from one of the connecting neurons. This signal activates the generation of plasticity-related proteins (PRPs), which help a synapse to grow. They can migrate to other synapses, which enables multiple synapses to grow at once. The new device is the first to mimic this process directly, without the need for software or complicated circuits. Image credit: Xiaojian Zhu, Nanoelectronics Group, University of Michigan.
An electron microscope image showing the rectangular gold (Au) electrodes representing signalling neurons and the rounded electrode representing the receiving neuron. The material of molybdenum disulfide layered with lithium connects the electrodes, enabling the simulation of cooperative growth among synapses. Image credit: Xiaojian Zhu, Nanoelectronics Group, University of Michigan.

That’s all folks.

Fields Centre for Quantitative Analysis and Modelling (CQAM) and ArtSci Salon: call for mathematical artworks

Currently, the deadline is July 26, 2019. For information about the call, there’s a July 6, 2019 ArtSci Salon announcement (received via email) about the call). Note: Both the Art/Sci Salon and CQAM are located in Toronto, Ontario but this is not limited to Canadian artists as far as I can tell,

Please, see this quick call!! this is for existing artworks: do you have
any math-related digital work/photography/drawing/ in high res? please
consider submitting!!!

Call for Artworks
Fields CQAM – ArtSci Salon
deadline: July 26, 2019

The Fields Centre for Quantitative Analysis and Modeling and ArtSci
Salon are looking for Mathematically related, Mathematically inspired,
or Mathematically informed artworks to feature on a limited series of
cards and small prints.

Fields CQAM (CQAM … is a research centre
comprised of 11 labs pairing leading researchers and industry from
across Ontario, simultaneously training a new pool of quantitative
scientists while enabling rapid translation of innovations from idea to
implementation. Mathematical modeling data analytics and visualization,
geometry processing and fabrication, health analytics, and human machine
interaction are only a few of the diverse research fields the centre is
engaged in. Please, check their website …for more information.

The artwork will be printed on cards. A limited number of bigger prints
will be distributed to volunteers who have made an outstanding
contribution to Fields CQAM. The selected artist will receive an
honorarium of $300 – $500 [CAD].


– Artworks can engage with a variety of topics in mathematics. For
instance, they can complement themes explored by CQAM labs.

– Acceptable formats are: Black & White or Color digitally generated
artworks (like visualizations, or digitally produced illustrations);
reproductions of paintings and other canvas-based work; photographic
work; drawings and other illustrations etc. Artworks must be high res
(see below)

– Size can vary (5X7in, 4X6in, 5x5in, 3×3 etc., keep in mind that the
artwork must fit a rectangular or squared-shaped – card).


Please, send the following material via WeTransfer
(use free version)

– 1 high res (300dpi) image

– a short bio

– a short description of the artwork

The deadline to propose your artwork is July 26, 2019

For more information please contact Tracy Barber (CQAM)

Or Roberta Buiani (ArtSci Salon)

I’m guessing this art/sci call for artworks is being handled exclusively by the Art/Sci Salon folks since there doesn’t seem to be any additional information about it on the CQAM website.

Two-dimensional material stacks into multiple layers to build a memory cell for longer lasting batteries

This research comes from Purdue University (US) and the December announcement seemed particularly timely since battery-powered gifts are popular at Christmas but since it could be many years before this work is commercialized, you may want to tuck it away for future reference.  Also, readers familiar with memristors might see a resemblance to the memory cells mentioned in the following excerpt. From a December 13, 2018 news item on Nanowerk,

The more objects we make “smart,” from watches to entire buildings, the greater the need for these devices to store and retrieve massive amounts of data quickly without consuming too much power.

Millions of new memory cells could be part of a computer chip and provide that speed and energy savings, thanks to the discovery of a previously unobserved functionality in a material called molybdenum ditelluride.

The two-dimensional material stacks into multiple layers to build a memory cell. Researchers at Purdue University engineered this device in collaboration with the National Institute of Standards and Technology (NIST) and Theiss Research Inc.

A December 13, 2018 Purdue University news release by Kayla Wiles, which originated the news item,  describes the work in more detail,

Chip-maker companies have long called for better memory technologies to enable a growing network of smart devices. One of these next-generation possibilities is resistive random access memory, or RRAM for short.

In RRAM, an electrical current is typically driven through a memory cell made up of stacked materials, creating a change in resistance that records data as 0s and 1s in memory. The sequence of 0s and 1s among memory cells identifies pieces of information that a computer reads to perform a function and then store into memory again.

A material would need to be robust enough for storing and retrieving data at least trillions of times, but materials currently used have been too unreliable. So RRAM hasn’t been available yet for widescale use on computer chips.

Molybdenum ditelluride could potentially last through all those cycles.
“We haven’t yet explored system fatigue using this new material, but our hope is that it is both faster and more reliable than other approaches due to the unique switching mechanism we’ve observed,” Joerg Appenzeller, Purdue University’s Barry M. and Patricia L. Epstein Professor of Electrical and Computer Engineering and the scientific director of nanoelectronics at the Birck Nanotechnology Center.

Molybdenum ditelluride allows a system to switch more quickly between 0 and 1, potentially increasing the rate of storing and retrieving information. This is because when an electric field is applied to the cell, atoms are displaced by a tiny distance, resulting in a state of high resistance, noted as 0, or a state of low resistance, noted as 1, which can occur much faster than switching in conventional RRAM devices.

“Because less power is needed for these resistive states to change, a battery could last longer,” Appenzeller said.

In a computer chip, each memory cell would be located at the intersection of wires, forming a memory array called cross-point RRAM.

Appenzeller’s lab wants to explore building a stacked memory cell that also incorporates the other main components of a computer chip: “logic,” which processes data, and “interconnects,” wires that transfer electrical signals, by utilizing a library of novel electronic materials fabricated at NIST.

“Logic and interconnects drain battery too, so the advantage of an entirely two-dimensional architecture is more functionality within a small space and better communication between memory and logic,” Appenzeller said.

Two U.S. patent applications have been filed for this technology through the Purdue Office of Technology Commercialization.

The work received financial support from the Semiconductor Research Corporation through the NEW LIMITS Center (led by Purdue University), NIST, the U.S. Department of Commerce and the Material Genome Initiative.

Here’s a link to and a citation for the paper,

Electric-field induced structural transition in vertical MoTe2- and Mo1–xWxTe2-based resistive memories by Feng Zhang, Huairuo Zhang, Sergiy Krylyuk, Cory A. Milligan, Yuqi Zhu, Dmitry Y. Zemlyanov, Leonid A. Bendersky, Benjamin P. Burton, Albert V. Davydov, & Joerg Appenzeller. Nature Materials volume 18, pages 55–61 (2019) Published: 10 December 2018 DOI:

This paper is behind a paywall.

World’s smallest magnetic resonance imaging (MRI) of a single atom

While not science’s sleekest machine, this microscope was able to capture M.R.I. scans of single atoms. Credit: IBM Research

Such a messy looking thing—it makes me feel better about my housekeeping. In any event, it’s fascinating to think this scanning tunneling microscope as seen in the above can actually act as an MRI device and create an image of a single atom.

There’s a wonderful article in the New York Times about the work but I’m starting first with a July 1, 2019 news item on Nanowerk,

Researchers at the Center for Quantum Nanoscience (QNS) within the Institute for Basic Science (IBS) at Ewha Womans University [Seoul, South Korea) have made a major scientific breakthrough by performing the world’s smallest magnetic resonance imaging (MRI). In an international collaboration with colleagues from the US, QNS scientists used their new technique to visualize the magnetic field of single atoms.

A July 2, 2019 IBS news release (also on EurekAlert but published July 1, 2019), which originated the news item, provides some insight into the research,

An MRI is routinely done in hospitals nowadays as a part of imaging for diagnostics. MRI’s detect the density of spins – the fundamental magnets in electrons and protons – in the human body. Traditionally, billions and billions of spins are required for an MRI scan. The new findings, published today [July 1, 2019] in the journal Nature Physics, show that this process is now also possible for an individual atom on a surface. To do this, the team used a Scanning Tunneling Microscope, which consists of an atomically sharp metal tip that allows researchers to image and probe single atoms by scanning the tip across the surface.

The two elements that were investigated in this work, iron and titanium, are both magnetic. Through precise preparation of the sample, the atoms were readily visible in the microscope. The researchers then used the microscope’s tip like an MRI machine to map the three-dimensional magnetic field created by the atoms with unprecedented resolution. In order to do so, they attached another spin cluster to the sharp metal tip of their microscope. Similar to everyday magnets, the two spins would attract or repel each other depending on their relative position. By sweeping the tip spin cluster over the atom on the surface, the researchers were able to map out the magnetic interaction. Lead author, Dr. Philip Willke of QNS says: “It turns out that the magnetic interaction we measured depends on the properties of both spins, the one on the tip and the one on the sample. For example, the signal that we see for iron atoms is vastly different from that for titanium atoms. This allows us to distinguish different kinds of atoms by their magnetic field signature and makes our technique very powerful.”

The researchers plan to use their single-atom MRI to map the spin distribution in more complex structures such as molecules and magnetic materials. “Many magnetic phenomena take place on the nanoscale, including the recent generation of magnetic storage devices.” says Dr. Yujeong Bae also of QNS, a co-author in this study. “We now plan to study a variety of systems using our microscopic MRI.” The ability to analyze the magnetic structure on the nanoscale can help to develop new materials and drugs. Moreover, the research team wants to use this kind of MRI to characterize and control quantum systems. These are of great interest for future computation schemes, also known as quantum computing

“I am very excited about these results. It is certainly a milestone in our field and has very promising implications for future research.” says Prof. Andreas Heinrich, Director of QNS. “The ability to map spins and their magnetic field with previously unimaginable precision, allows us to gain deeper knowledge about the structure of matter and opens new fields of basic research.”

The Center for Quantum Nanoscience, on the campus of Ewha Womans University in Seoul, South Korea, is a world-leading research center merging quantum and nanoscience to engineer the quantum future through basic research. Backed by Korea’s Institute for Basic Science, which was founded in 2011, the Center for Quantum Nanoscience draws on decades of QNS Director Andreas J. Heinrich’s (A Boy and His Atom, IBM, 2013) scientific leadership to lay the foundation for future technology by exploring the use of quantum behavior atom-by-atom on surfaces with highest precision.

You may have noticed that other than a brief mention in the first paragraph (in the Nanowerk news item excerpt), there’s no mention of the US researchers and their contribution to the work.

Interestingly, the July 1, 2019 New York Time article by Knvul Sheikh returns the favour by focusing almost entirely on US researchers while giving the Korean researchers a passing mention (Note: Links have been removed),

Different microscopy techniques allow scientists to see the nucleotide-by-nucleotide genetic sequences in cells down to the resolution of a couple atoms as seen in an atomic force microscopy image. But scientists at the IBM Almaden Research Center in San Jose, Calif., and the Institute for Basic Sciences in Seoul, have taken imaging a step further, developing a new magnetic resonance imaging technique that provides unprecedented detail, right down to the individual atoms of a sample.

When doctors want to detect tumors, measure brain function or visualize the structure of joints, they employ huge M.R.I. machines, which apply a magnetic field across the human body. This temporarily disrupts the protons spinning in the nucleus of every atom in every cell. A subsequent, brief pulse of radio-frequency energy causes the protons to spin perpendicular to the pulse. Afterward, the protons return to their normal state, releasing energy that can be measured by sensors and made into an image.

But to gather enough diagnostic data, traditional hospital M.R.I.s must scan billions and billions of protons in a person’s body, said Christopher Lutz, a physicist at IBM. So he and his colleagues decided to pack the power of an M.R.I. machine into the tip of another specialized instrument known as a scanning tunneling microscope to see if they could image individual atoms.

The tip of a scanning tunneling microscope is just a few atoms wide. And it moves along the surface of a sample, it picks up details about the size and conformation of molecules.

The researchers attached magnetized iron atoms to the tip, effectively combining scanning-tunneling microscope and M.R.I. technologies.

When the magnetized tip swept over a metal wafer of iron and titanium, it applied a magnetic field to the sample, disrupting the electrons (rather than the protons, as a typical M.R.I. would) within each atom. Then the researchers quickly turned a radio-frequency pulse on and off, so that the electrons would emit energy that could be visualized. …

Here’s a link to and a citation for the paper,

Magnetic resonance imaging of single atoms on a surface by Philip Willke, Kai Yang, Yujeong Bae, Andreas J. Heinrich & Christopher P. Lutz. Nature Physics (2019) DOI: Published 01 July 2019

This paper is behind a paywall.

Better performing solar cells with newly discovered property of pristine graphene

Light-harvesting devices—I like that better than solar cells or the like but I think that the term serves as a category rather than a name/label for a specific device. Enough musing. A December 17, 2018 news item on Nanowerk describes the latest about graphene and light-harvesting devices (Note: A link has been removed,

An international research team, co-led by a physicist at the University of California, Riverside, has discovered a new mechanism for ultra-efficient charge and energy flow in graphene, opening up opportunities for developing new types of light-harvesting devices.

The researchers fabricated pristine graphene — graphene with no impurities — into different geometric shapes, connecting narrow ribbons and crosses to wide open rectangular regions. They found that when light illuminated constricted areas, such as the region where a narrow ribbon connected two wide regions, they detected a large light-induced current, or photocurrent.

The finding that pristine graphene can very efficiently convert light into electricity could lead to the development of efficient and ultrafast photodetectors — and potentially more efficient solar panels.

A December 14, 2018 University of California at Riverside (UCR) news release by Iqbal Pittalwala (also on EurekAlert but published Dec. 17, 2018), which originated the news item,gives a brief description of graphene while adding context for this research,

Graphene, a 1-atom thick sheet of carbon atoms arranged in a hexagonal lattice, has many desirable material properties, such as high current-carrying capacity and thermal conductivity. In principle, graphene can absorb light at any frequency, making it ideal material for infrared and other types of photodetection, with wide applications in bio-sensing, imaging, and night vision.

In most solar energy harvesting devices, a photocurrent arises only in the presence of a junction between two dissimilar materials, such as “p-n” junctions, the boundary between two types of semiconductor materials. The electrical current is generated in the junction region and moves through the distinct regions of the two materials.

“But in graphene, everything changes,” said Nathaniel Gabor, an associate professor of physics at UCR, who co-led the research project. “We found that photocurrents may arise in pristine graphene under a special condition in which the entire sheet of graphene is completely free of excess electronic charge. Generating the photocurrent requires no special junctions and can instead be controlled, surprisingly, by simply cutting and shaping the graphene sheet into unusual configurations, from ladder-like linear arrays of contacts, to narrowly constricted rectangles, to tapered and terraced edges.”

Pristine graphene is completely charge neutral, meaning there is no excess electronic charge in the material. When wired into a device, however, an electronic charge can be introduced by applying a voltage to a nearby metal. This voltage can induce positive charge, negative charge, or perfectly balance negative and positive charges so the graphene sheet is perfectly charge neutral.

“The light-harvesting device we fabricated is only as thick as a single atom,” Gabor said. “We could use it to engineer devices that are semi-transparent. These could be embedded in unusual environments, such as windows, or they could be combined with other more conventional light-harvesting devices to harvest excess energy that is usually not absorbed. Depending on how the edges are cut to shape, the device can give extraordinarily different signals.”

The research team reports this first observation of an entirely new physical mechanism — a photocurrent generated in charge-neutral graphene with no need for p-n junctions — in Nature Nanotechnology today [Dec. 17, 2018].

Previous work by the Gabor lab showed a photocurrent in graphene results from highly excited “hot” charge carriers. When light hits graphene, high-energy electrons relax to form a population of many relatively cooler electrons, Gabor explained, which are subsequently collected as current. Even though graphene is not a semiconductor, this light-induced hot electron population can be used to generate very large currents.

“All of this behavior is due to graphene’s unique electronic structure,” he said. “In this ‘wonder material,’ light energy is efficiently converted into electronic energy, which can subsequently be transported within the material over remarkably long distances.”

He explained that, about a decade ago, pristine graphene was predicted to exhibit very unusual electronic behavior: electrons should behave like a liquid, allowing energy to be transferred through the electronic medium rather than by moving charges around physically.
“But despite this prediction, no photocurrent measurements had been done on pristine graphene devices — until now,” he said.

The new work on pristine graphene shows electronic energy travels great distances in the absence of excess electronic charge.

The research team has found evidence that the new mechanism results in a greatly enhanced photoresponse in the infrared regime with an ultrafast operation speed.
“We plan to further study this effect in a broad range of infrared and other frequencies, and measure its response speed,” said first author Qiong Ma, a postdoctoral associate in physics at the Massachusetts Institute of Technology, or MIT.

The researchers have provided an image illustrating their work,

Caption: Shining light on graphene: Although graphene has been studied vigorously for more than a decade, new measurements on high-performance graphene devices have revealed yet another unusual property. In ultra-clean graphene sheets, energy can flow over great distances, giving rise to an unprecedented response to light. Credit: Max Grossnickle and QMO Labs, UC Riverside.

Here’s a link to and a citation for the paper,

Giant intrinsic photoresponse in pristine graphene by Qiong Ma, Chun Hung Lui, Justin C. W. Song, Yuxuan Lin, Jian Feng Kong, Yuan Cao, Thao H. Dinh, Nityan L. Nair, Wenjing Fang, Kenji Watanabe, Takashi Taniguchi, Su-Yang Xu, Jing Kong, Tomás Palacios, Nuh Gedik, Nathaniel M. Gabor, & Pablo Jarillo-Herrero. Nature Nanotechnology (2018) Published 17 December 2018 DOI:

This paper is behind a paywall.

An artificial synapse tuned by light, a ferromagnetic memristor, and a transparent, flexible artificial synapse

Down the memristor rabbit hole one more time.* I started out with news about two new papers and inadvertently found two more. In a bid to keep this posting to a manageable size, I’m stopping at four.


In a June 19, 2019 Nanowerk Spotlight article, Dr. Neil Kemp discusses memristors and some of his latest work (Note: A link has been removed),

Memristor (or memory resistors) devices are non-volatile electronic memory devices that were first theorized by Leon Chua in the 1970’s. However, it was some thirty years later that the first practical device was fabricated. This was in 2008 when a group led by Stanley Williams at HP Research Labs realized that switching of the resistance between a conducting and less conducting state in metal-oxide thin-film devices was showing Leon Chua’s memristor behaviour.

The high interest in memristor devices also stems from the fact that these devices emulate the memory and learning properties of biological synapses. i.e. the electrical resistance value of the device is dependent on the history of the current flowing through it.

There is a huge effort underway to use memristor devices in neuromorphic computing applications and it is now reasonable to imagine the development of a new generation of artificial intelligent devices with very low power consumption (non-volatile), ultra-fast performance and high-density integration.

These discoveries come at an important juncture in microelectronics, since there is increasing disparity between computational needs of Big Data, Artificial Intelligence (A.I.) and the Internet of Things (IoT), and the capabilities of existing computers. The increases in speed, efficiency and performance of computer technology cannot continue in the same manner as it has done since the 1960s.

To date, most memristor research has focussed on the electronic switching properties of the device. However, for many applications it is useful to have an additional handle (or degree of freedom) on the device to control its resistive state. For example memory and processing in the brain also involves numerous chemical and bio-chemical reactions that control the brain structure and its evolution through development.

To emulate this in a simple solid-state system composed of just switches alone is not possible. In our research, we are interested in using light to mediate this essential control.

We have demonstrated that light can be used to make short and long-term memory and we have shown how light can modulate a special type of learning, called spike timing dependent plasticity (STDP). STDP involves two neuronal spikes incident across a synapse at the same time. Depending on the relative timing of the spikes and their overlap across the synaptic cleft, the connection strength is other strengthened or weakened.

In our earlier work, we were only able to achieve to small switching effects in memristors using light. In our latest work (Advanced Electronic Materials, “Percolation Threshold Enables Optical Resistive-Memory Switching and Light-Tuneable Synaptic Learning in Segregated Nanocomposites”), we take advantage of a percolating-like nanoparticle morphology to vastly increase the magnitude of the switching between electronic resistance states when light is incident on the device.

We have used an inhomogeneous percolating network consisting of metallic nanoparticles distributed in filamentary-like conduction paths. Electronic conduction and the resistance of the device is very sensitive to any disruption of the conduction path(s).

By embedding the nanoparticles in a polymer that can expand or contract with light the conduction pathways are broken or re-connected causing very large changes in the electrical resistance and memristance of the device.

Our devices could lead to the development of new memristor-based artificial intelligence systems that are adaptive and reconfigurable using a combination of optical and electronic signalling. Furthermore, they have the potential for the development of very fast optical cameras for artificial intelligence recognition systems.

Our work provides a nice proof-of-concept but the materials used means the optical switching is slow. The materials are also not well suited to industry fabrication. In our on-going work we are addressing these switching speed issues whilst also focussing on industry compatible materials.

Currently we are working on a new type of optical memristor device that should give us orders of magnitude improvement in the optical switching speeds whilst also retaining a large difference between the resistance on and off states. We hope to be able to achieve nanosecond switching speeds. The materials used are also compatible with industry standard methods of fabrication.

The new devices should also have applications in optical communications, interfacing and photonic computing. We are currently looking for commercial investors to help fund the research on these devices so that we can bring the device specifications to a level of commercial interest.

If you’re interested in memristors, Kemp’s article is well written and quite informative for nonexperts, assuming of course you can tolerate not understanding everything perfectly.

Here are links and citations for two papers. The first is the latest referred to in the article, a May 2019 paper and the second is a paper appearing in July 2019.

Percolation Threshold Enables Optical Resistive‐Memory Switching and Light‐Tuneable Synaptic Learning in Segregated Nanocomposites by Ayoub H. Jaafar, Mary O’Neill, Stephen M. Kelly, Emanuele Verrelli, Neil T. Kemp. Advanced Electronic Materials DOI: First published: 28 May 2019

Wavelength dependent light tunable resistive switching graphene oxide nonvolatile memory devices by Ayoub H.Jaafar, N.T.Kemp. DOI: Carbon Available online 3 July 2019

The first paper (May 2019) is definitely behind a paywall and the second paper (July 2019) appears to be behind a paywall.

Dr. Kemp’s work has been featured here previously in a January 3, 2018 posting in the subsection titled, Shining a light on the memristor.


This work from China was announced in a June 20, 2019 news item on Nanowerk,

Memristors, demonstrated by solid-state devices with continuously tunable resistance, have emerged as a new paradigm for self-adaptive networks that require synapse-like functions. Spin-based memristors offer advantages over other types of memristors because of their significant endurance and high energy effciency.

However, it remains a challenge to build dense and functional spintronic memristors with structures and materials that are compatible with existing ferromagnetic devices. Ta/CoFeB/MgO heterostructures are commonly used in interfacial PMA-based [perpendicular magnetic anisotropy] magnetic tunnel junctions, which exhibit large tunnel magnetoresistance and are implemented in commercial MRAM [magnetic random access memory] products.

“To achieve the memristive function, DW is driven back and forth in a continuous manner in the CoFeB layer by applying in-plane positive or negative current pulses along the Ta layer, utilizing SOT that the current exerts on the CoFeB magnetization,” said Shuai Zhang, a coauthor in the paper. “Slowly propagating domain wall generates a creep in the detection area of the device, which yields a broad range of intermediate resistive states in the AHE [anomalous Hall effect] measurements. Consequently, AHE resistance is modulated in an analog manner, being controlled by the pulsed current characteristics including amplitude, duration, and repetition number.”

“For a follow-up study, we are working on more neuromorphic operations, such as spike-timing-dependent plasticity and paired pulsed facilitation,” concludes You. …

Here’s are links to and citations for the paper (Note: It’s a little confusing but I believe that one of the links will take you to the online version, as for the ‘open access’ link, keep reading),

A Spin–Orbit‐Torque Memristive Device by Shuai Zhang, Shijiang Luo, Nuo Xu, Qiming Zou, Min Song, Jijun Yun, Qiang Luo, Zhe Guo, Ruofan Li, Weicheng Tian, Xin Li, Hengan Zhou, Huiming Chen, Yue Zhang, Xiaofei Yang, Wanjun Jiang, Ka Shen, Jeongmin Hong, Zhe Yuan, Li Xi, Ke Xia, Sayeef Salahuddin, Bernard Dieny, Long You. Advanced Electronic Materials Volume 5, Issue 4 April 2019 (print version) 1800782 DOI: First published [online]: 30 January 2019 Note: there is another DOI, where you can have open access to Memristors: A Spin–Orbit‐Torque Memristive Device (Adv. Electron. Mater. 4/2019)

The paper published online in January 2019 is behind a paywall and the paper (almost the same title) published in April 2019 has a new DOI and is open access. Final note: I tried accessing the ‘free’ paper and opened up a free file for the artwork featuring the work from China on the back cover of the April 2019 of Advanced Electronic Materials.


Usually when I see the words transparency and flexibility, I expect to see graphene is one of the materials. That’s not the case for this paper (link to and citation for),

Transparent and flexible photonic artificial synapse with piezo-phototronic modulator: Versatile memory capability and higher order learning algorithm by Mohit Kumar, Joondong Kim, Ching-Ping Wong. Nano Energy Volume 63, September 2019, 103843 DOI: Available online 22 June 2019

Here’s the abstract for the paper where you’ll see that the material is made up of zinc oxide silver nanowires,

An artificial photonic synapse having tunable manifold synaptic response can be an essential step forward for the advancement of novel neuromorphic computing. In this work, we reported the development of highly transparent and flexible two-terminal ZnO/Ag-nanowires/PET photonic artificial synapse [emphasis mine]. The device shows purely photo-triggered all essential synaptic functions such as transition from short-to long-term plasticity, paired-pulse facilitation, and spike-timing-dependent plasticity, including in the versatile memory capability. Importantly, strain-induced piezo-phototronic effect within ZnO provides an additional degree of regulation to modulate all of the synaptic functions in multi-levels. The observed effect is quantitatively explained as a dynamic of photo-induced electron-hole trapping/detraining via the defect states such as oxygen vacancies. We revealed that the synaptic functions can be consolidated and converted by applied strain, which is not previously applied any of the reported synaptic devices. This study will open a new avenue to the scientific community to control and design highly transparent wearable neuromorphic computing.

This paper is behind a paywall.

Jiggly jell-o as a new hydrogen fuel catalyst

Jello [uploaded from]

I’m quite intrigued by this ‘jell-o’ story. It’s hard to believe a childhood dessert might prove to have an application as a catalyst for producing hydrogen fuel. From a December 14, 2018 news item on Nanowerk,

A cheap and effective new catalyst developed by researchers at the University of California, Berkeley, can generate hydrogen fuel from water just as efficiently as platinum, currently the best — but also most expensive — water-splitting catalyst out there.

The catalyst, which is composed of nanometer-thin sheets of metal carbide, is manufactured using a self-assembly process that relies on a surprising ingredient: gelatin, the material that gives Jell-O its jiggle.

Two-dimensional metal carbides spark a reaction that splits water into oxygen and valuable hydrogen gas. Berkeley researchers have discovered an easy new recipe for cooking up these nanometer-thin sheets that is nearly as simple as making Jell-O from a box. (Xining Zang graphic, copyright Wiley)

A December 13, 2018 University of California at Berkeley (UC Berkeley) news release by Kara Manke (also on EurekAlert but published on Dec. 14, 2018), which originated the news item, provides more technical detail,

“Platinum is expensive, so it would be desirable to find other alternative materials to replace it,” said senior author Liwei Lin, professor of mechanical engineering at UC Berkeley. “We are actually using something similar to the Jell-O that you can eat as the foundation, and mixing it with some of the abundant earth elements to create an inexpensive new material for important catalytic reactions.”

The work appears in the Dec. 13 [2018] print edition of the journal Advanced Materials.

A zap of electricity can break apart the strong bonds that tie water molecules together, creating oxygen and hydrogen gas, the latter of which is an extremely valuable source of energy for powering hydrogen fuel cells. Hydrogen gas can also be used to help store energy from renewable yet intermittent energy sources like solar and wind power, which produce excess electricity when the sun shines or when the wind blows, but which go dormant on rainy or calm days.

A black and white image of metal carbide under high magnification.

When magnified, the two-dimensional metal carbides resemble sheets of cell[o]phane. (Xining Zang photo, copyright Wiley)

But simply sticking an electrode in a glass of water is an extremely inefficient method of generating hydrogen gas. For the past 20 years, scientists have been searching for catalysts that can speed up this reaction, making it practical for large-scale use.

“The traditional way of using water gas to generate hydrogen still dominates in industry. However, this method produces carbon dioxide as byproduct,” said first author Xining Zang, who conducted the research as a graduate student in mechanical engineering at UC Berkeley. “Electrocatalytic hydrogen generation is growing in the past decade, following the global demand to lower emissions. Developing a highly efficient and low-cost catalyst for electrohydrolysis will bring profound technical, economical and societal benefit.”

To create the catalyst, the researchers followed a recipe nearly as simple as making Jell-O from a box. They mixed gelatin and a metal ion — either molybdenum, tungsten or cobalt — with water, and then let the mixture dry.

“We believe that as gelatin dries, it self-assembles layer by layer,” Lin said. “The metal ion is carried by the gelatin, so when the gelatin self-assembles, your metal ion is also arranged into these flat layers, and these flat sheets are what give Jell-O its characteristic mirror-like surface.”

Heating the mixture to 600 degrees Celsius triggers the metal ion to react with the carbon atoms in the gelatin, forming large, nanometer-thin sheets of metal carbide. The unreacted gelatin burns away.

The researchers tested the efficiency of the catalysts by placing them in water and running an electric current through them. When stacked up against each other, molybdenum carbide split water the most efficiently, followed by tungsten carbide and then cobalt carbide, which didn’t form thin layers as well as the other two. Mixing molybdenum ions with a small amount of cobalt boosted the performance even more.

“It is possible that other forms of carbide may provide even better performance,” Lin said.

On the left, an illustration of blue spheres, representing gelatin molecules, arranged in a lattice shape. On the right, an illustration of thin sheets of metal carbide.

Molecules in gelatin naturally self-assemble in flat sheets, carrying the metal ions with them (left). Heating the mixture to 600 degrees Celsius burns off the gelatin, leaving nanometer-thin sheets of metal carbide. (Xining Zang illustration, copyright Wiley)

The two-dimensional shape of the catalyst is one of the reasons why it is so successful. That is because the water has to be in contact with the surface of the catalyst in order to do its job, and the large surface area of the sheets mean that the metal carbides are extremely efficient for their weight.

Because the recipe is so simple, it could easily be scaled up to produce large quantities of the catalyst, the researchers say.

“We found that the performance is very close to the best catalyst made of platinum and carbon, which is the gold standard in this area,” Lin said. “This means that we can replace the very expensive platinum with our material, which is made in a very scalable manufacturing process.”

Co-authors on the study are Lujie Yang, Buxuan Li and Minsong Wei of UC Berkeley, J. Nathan Hohman and Chenhui Zhu of Lawrence Berkeley National Lab; Wenshu Chen and Jiajun Gu of Shanghai Jiao Tong University; Xiaolong Zou and Jiaming Liang of the Shenzhen Institute; and Mohan Sanghasadasa of the U.S. Army RDECOM AMRDEC.

Here’s a link to and a citation for the paper,

Self‐Assembly of Large‐Area 2D Polycrystalline Transition Metal Carbides for Hydrogen Electrocatalysis by Xining Zang, Wenshu Chen, Xiaolong Zou, J. Nathan Hohman, Lujie Yang
Buxuan Li, Minsong Wei, Chenhui Zhu, Jiaming Liang, Mohan Sanghadasa, Jiajun Gu, Liwei Lin. Advanced Materials Volume30, Issue 50 December 13, 2018 1805188 DOI: First published [online]: 09 October 2018

This paper is behind a paywall.