Enhancing soap bubbles for your science explorations? It sounds like an entertaining activity you might give children for ‘painless’ science education. In this case, researchers at Technion – Israel Institute of Technology have made an exciting discovery, The following video is where I got the phrase “explorers of experimental science,”
A team of researchers from the Technion – Israel Institute of Technology has observed branched flow of light for the very first time. The findings are published in Nature and are featured on the cover of the July 2, 2020 issue (“Observation of branched flow of light”).
The study was carried out by Ph.D. student Anatoly (Tolik) Patsyk, in collaboration with Miguel A. Bandres, who was a postdoctoral fellow at Technion when the project started and is now an Assistant Professor at CREOL, College of Optics and Photonics, University of Central Florida. The research was led by Technion President Professor Uri Sivan and Distinguished Professor Mordechai (Moti) Segev of the Technion’s Physics and Electrical Engineering Faculties, the Solid State Institute, and the Russell Berrie Nanotechnology Institute.
When waves travel through landscapes that contain disturbances, they naturally scatter, often in all directions. Scattering of light is a natural phenomenon, found in many places in nature. For example, the scattering of light is the reason for the blue color of the sky. As it turns out, when the length over which disturbances vary is much larger than the wavelength, the wave scatters in an unusual fashion: it forms channels (branches) of enhanced intensity that continue to divide or branch out, as the wave propagates. This phenomenon is known as branched flow. It was first observed in 2001 in electrons and had been suggested to be ubiquitous and occur also for all waves in nature, for example – sound waves and even ocean waves. Now, Technion researchers are bringing branched flow to the domain of light: they have made an experimental observation of the branched flow of light.
“We always had the intention of finding something new, and we were eager to find it. It was not what we started looking for, but we kept looking and we found something far better,” says Asst. Prof. Miguel Bandres. “We are familiar with the fact that waves spread when they propagate in a homogeneous medium. But for other kinds of mediums, waves can behave in very different ways. When we have a disordered medium where the variations are not random but smooth, like a landscape of mountains and valleys, the waves will propagate in a peculiar way. They will form channels that keep dividing as the wave propagates, forming a beautiful pattern resembling the branches of a tree.”
In their research, the team coupled a laser beam to a soap membrane, which contains random variations in membrane thickness. They discovered that when light propagates within the soap film, rather than being scattered, the light forms elongated branches, creating the branched flow phenomenon for light.
“In optics we usually work hard to make light stay focused and propagate as a collimated beam, but here the surprise is that the random structure of the soap film naturally caused the light to stay focused. It is another one of nature’s surprises,” says Tolik Patsyk.
The ability to create branched flow in the field of optics offers new and exciting opportunities for investigating and understanding this universal wave phenomenon.
“There is nothing more exciting than discovering something new and this is the first demonstration of this phenomenon with light waves,” says Technion President Prof. Uri Sivan. “This goes to show that intriguing phenomena can also be observed in simple systems and one just has to be perceptive enough to uncover them. As such, bringing together and combining the views of researchers from different backgrounds and disciplines has led to some truly interesting insights.”
“The fact that we observe it with light waves opens remarkable new possibilities for research, starting with the fact that we can characterize the medium in which light propagates to very high precision and the fact that we can also follow those branches accurately and study their properties,” he adds.
Distinguished Prof. Moti Segev looks to the future. “I always educate my team to think beyond the horizon,” he says, “to think about something new, and at the same time – look at the experimental facts as they are, rather than try to adapt the experiments to meet some expected behavior. Here, Tolik was trying to measure something completely different and was surprised to see these light branches which he could not initially explain. He asked Miguel to join in the experiments, and together they upgraded the experiments considerably – to the level they could isolate the physics involved. That is when we started to understand what we see. It took more than a year until we understood that what we have is the strange phenomenon of “branched flow”, which at the time was never considered in the context of light waves. Now, with this observation – we can think of a plethora of new ideas. For example, using these light branches to control the fluidic flow in liquid, or to combine the soap with fluorescent material and cause the branches to become little lasers. Or to use the soap membranes as a platform for exploring fundamentals of waves, such as the transitions from ordinary scattering which is always diffusive, to branched flow, and subsequently to Anderson localization. There are many ways to continue this pioneering study. As we did many times in the past, we would like to boldly go where no one has gone before.”
The project is now continuing in the laboratories of Profs. Segev and Sivan at Technion, and in parallel in the newly established lab of Prof. Miguel Bandres at UCF.
Here’s a link to and a citation for the paper,
Observation of branched flow of light by Anatoly Patsyk, Uri Sivan, Mordechai Segev & Miguel A. Bandres Nature volume 583, pages60–65 (2020) DOI: https://doi.org/10.1038/s41586-020-2376-8 Published: 01 July 2020 Issue Date: 02 July 2020
I have some news about conserving art; early bird registration deadlines for two events, and, finally, an announcement about contest winners.
Canadian Light Source (CLS) and modern art
This is one of three pieces by Rita Letendre that underwent chemical mapping according to an August 5, 2020 CLS news release by Victoria Martinez (also received via email),
Research undertaken at the Canadian Light Source (CLS) at the University of Saskatchewan was key to understanding how to conserve experimental oil paintings by Rita Letendre, one of Canada’s most respected living abstract artists.
The work done at the CLS was part of a collaborative research project between the Art Gallery of Ontario (AGO) and the Canadian Conservation Institute (CCI) that came out of a recent retrospective Rita Letendre: Fire & Light at the AGO. During close examination, Meaghan Monaghan, paintings conservator from the Michael and Sonja Koerner Centre for Conservation, observed that several of Letendre’s oil paintings from the fifties and sixties had suffered significant degradation, most prominently, uneven gloss and patchiness, snowy crystalline structures coating the surface known as efflorescence, and cracking and lifting of the paint in several areas.
Kate Helwig, Senior Conservation Scientist at the Canadian Conservation Institute, says these problems are typical of mid-20th century oil paintings. “We focused on three of Rita Letendre’s paintings in the AGO collection, which made for a really nice case study of her work and also fits into the larger question of why oil paintings from that period tend to have degradation issues.”
Growing evidence indicates that paintings from this period have experienced these problems due to the combination of the experimental techniques many artists employed and the additives paint manufacturers had begun to use.
In order to determine more precisely how these factors affected Letendre’s paintings, the research team members applied a variety of analytical techniques, using microscopic samples taken from key points in the works.
“The work done at the CLS was particularly important because it allowed us to map the distribution of materials throughout a paint layer such as an impasto stroke,” Helwig said. The team used Mid-IR chemical mapping at the facility, which provides a map of different molecules in a small sample.
For example, chemical mapping at the CLS allowed the team to understand the distribution of the paint additive aluminum stearate throughout the paint layers of the painting Méduse. This painting showed areas of soft, incompletely dried paint, likely due to the high concentration and incomplete mixing of this additive.
The painting Victoire had a crumbling base paint layer in some areas and cracking and efflorescence at the surface in others. Infrared mapping at the CLS allowed the team to determine that excess free fatty acids in the paint were linked to both problems; where the fatty acids were found at the base they formed zing “soaps” which led to crumbling and cracking, and where they had moved to the surface they had crystallized, causing the snowflake-like efflorescence.
AGO curators and conservators interviewed Letendre to determine what was important to her in preserving and conserving her works, and she highlighted how important an even gloss across the surface was to her artworks, and the philosophical importance of the colour black in her paintings. These priorities guided conservation efforts, while the insights gained through scientific research will help maintain the works in the long term.
In order to restore the black paint to its intended even finish for display, conservator Meaghan Monaghan removed the white crystallization from the surface of Victoire, but it is possible that it could begin to recur. Understanding the processes that lead to this degradation will be an important tool to keep Letendre’s works in good condition.
“The world of modern paint research is complicated; each painting is unique, which is why it’s important to combine theoretical work on model paint systems with this kind of case study on actual works of art” said Helwig. The team hopes to collaborate on studying a larger cross section of Letendre’s paintings in oil and acrylic in the future to add to the body of knowledge.
The latest news from the CSPC 2020 (November 16 – 20 with preconference events from Nov. 1 -14) organizers is that registration is open and early birds have a deadline of September 27, 2020 (from an August 6, 2020 CSPC 2020 announcement received via email),
It’s time! Registration for the 12th Canadian Science Policy Conference (CSPC 2020) is open now. Early Bird registration is valid until Sept. 27th .
CSPC 2020 is coming to your offices and homes:
Register for full access to 3 weeks of programming of the biggest science and innovation policy forum of 2020 under the overarching theme: New Decade, New Realities: Hindsight, Insight, Foresight.
300+ Speakers from five continents
65+ Panel sessions, 15 pre conference sessions and symposiums
50+ On demand videos and interviews with the most prominent figures of science and innovation policy
20+ Partner-hosted functions
15+ Networking sessions
15 Open mic sessions to discuss specific topics
The virtual conference features an exclusive array of offerings:
3D Lounge and Exhibit area
Advance access to the Science Policy Magazine, featuring insightful reflections from the frontier of science and policy innovation
Don’t miss this unique opportunity to engage in the most important discussions of science and innovation policy with insights from around the globe, just from your office, home desk, or your mobile phone.
Benefit from significantly reduced registration fees for an online conference with an option for discount for multiple ticket purchases
The preliminary programme can be found here. This year there will be some discussion of a Canadian synthetic biology roadmap, presentations on various Indigenous concerns (mostly health), a climate challenge presentation focusing on Mexico and social vulnerability and another on parallels between climate challenges and COVID-19. There are many presentations focused on COVID-19 and.or health.
Margaux Davoine has written up a teaser for the 2020 edition of ISEA in the form of an August 6, 2020 interview with Yan Breuleux. I’ve excerpted one bit,
Finally, thinking about this year’s theme [Why Sentience?], there might be something a bit ironic about exploring the notion of sentience (historically reserved for biological life, and quite a small subsection of it) through digital media and electronic arts. There’s been much work done in the past 25 years to loosen the boundaries between such distinctions: how do you imagine ISEA2020 helping in that?
The similarities shared between humans, animals, and machines are fundamental in cybernetic sciences. According to the founder of cybernetics Norbert Wiener, the main tenets of the information paradigm – the notion of feedback – can be applied to humans, animals as well as the material world. Famously, the AA predictor (as analysed by Peter Galison in 1994) can be read as a first attempt at human-machine fusion (otherwise known as a cyborg).
The infamous Turing test also tends to blur the lines between humans and machines, between language and informational systems. Second-order cybernetics are often associated with biologists Francisco Varela and Humberto Maturana. The very notion of autopoiesis (a system capable of maintaining a certain level of stability in an unstable environment) relates back to the concept of homeostasis formulated by Willam Ross [William Ross Ashby] in 1952. Moreover, the concept of “ecosystems” emanates directly from the field of second-order cybernetics, providing researchers with a clearer picture of the interdependencies between living and non-living organisms. In light of these theories, the absence of boundaries between animals, humans, and machines constitutes the foundation of the technosciences paradigm. New media, technological arts, virtual arts, etc., partake in the dialogue between humans and machines, and thus contribute to the prolongation of this paradigm. Frank Popper nearly called his book “Techno Art” instead of “Virtual Art”, in reference to technosciences (his editor suggested the name change). For artists in the technological arts community, Jakob von Uexkull’s notion of “human-animal milieu” is an essential reference. Also present in Simondon’s reflections on human environments (both natural and artificial), the notion of “milieu” is quite important in the discourses about art and the environment. Concordia University’s artistic community chose the concept of “milieu” as the rallying point of its research laboratories.
ISEA2020’s theme resonates particularly well with the recent eruption of processing and artificial intelligence technologies. For me, Sentience is a purely human and animal idea: machines can only simulate our ways of thinking and feeling. Partly in an effort to explore the illusion of sentience in computers, Louis-Philippe Rondeau, Benoît Melançon and I have established the Mimesis laboratory at NAD University. Processing and AI technologies are especially useful in the creation of “digital doubles”, “Vactors”, real-time avatar generation, Deep Fakes and new forms of personalised interactions.
I adhere to the epistemological position that the living world is immeasurable. Through their ability to simulate, machines can merely reduce complex logics to a point of understandability. The utopian notion of empathetic computers is an idea mostly explored by popular science-fiction movies. Nonetheless, research into computer sentience allows us to devise possible applications, explore notions of embodiment and agency, and thereby develop new forms of interaction. Beyond my own point of view, the idea that machines can somehow feel emotions gives artists and researchers the opportunity to experiment with certain findings from the fields of the cognitive sciences, computer sciences and interactive design. For example, in 2002 I was particularly marked by an immersive installation at Universal Exhibition in Neuchatel, Switzerland titled Ada: Intelligence Space. The installation comprised an artificial environment controlled by a computer, which interacted with the audience on the basis of artificial emotion. The system encouraged visitors to participate by intelligently analysing their movements and sounds. Another example, Louis-Philippe Demers’ Blind Robot (2012), demonstrates how artists can be both critical of, and amazed by, these new forms of knowledge. Additionally, the 2016 BIAN (Biennale internationale d’art numérique), organized by ELEKTRA (Alain Thibault) explored the various ways these concepts were appropriated in installation and interactive art. The way I see it, current works of digital art operate as boundary objects. The varied usages and interpretations of a particular work of art allow it to be analyzed from nearly every angle or field of study. Thus, philosophers can ask themselves: how does a computer come to understand what being human really is?
I have yet to attend conferences or exchange with researchers on that subject. Although the sheer number of presentation propositions sent to ISEA2020, I have no doubt that the symposium will be the ideal context to reflect on the concept of Sentience and many issues raised therein.
For the last bit of news.
HotPopRobot, one of six global winners of 2020 NASA SpaceApps COVID-19 challenge
We are excited to become the global winners of the 2020 NASA SpaceApps COVID-19 Challenge from among 2,000 teams from 150 countries. The six Global Winners will be invited to visit a NASA Rocket Launch site to view a spacecraft launch along with the SpaceApps Organizing team once travel is deemed safe. They will also receive an invitation to present their projects to NASA, ESA [European Space Agency], JAXA [Japan Aerospace Exploration Agency], CNES [Centre National D’Etudes Spatiales; France], and CSA [Canadian Space Agency] personnel. https://covid19.spaceappschallenge.org/awards
15,000 participants joined together to submit over 1400 projects for the COVID-19 Global Challenge that was held on 30-31 May 2020. 40 teams made to the Global Finalists. Amongst them, 6 teams became the global winners!
The 2020 SpaceApps was an international collaboration between NASA, Canadian Space Agency, ESA, JAXA, CSA,[sic] and CNES focused on solving global challenges. During a period of 48 hours, participants from around the world were required to create virtual teams and solve any of the 12 challenges related to the COVID-19 pandemic posted on the SpaceApps website. More details about the 2020 SpaceApps COVID-19 Challenge: https://sa-2019.s3.amazonaws.com/media/documents/Space_Apps_FAQ_COVID_.pdf
We have been participating in NASA Space Challenge for the last seven years since 2014. We were only 8 years and 5 years respectively when we participated in our very first SpaceApps 2014.
We have grown up learning more about space, tacking global challenges, making hardware and software projects, participating in meetings, networking with mentors and teams across the globe, and giving presentations through the annual NASA Space Apps Challenges. This is one challenge we look forward to every year.
It has been a fun and exciting journey meeting so many people and astronauts and visiting several fascinating places on the way! We hope more kids, youths, and families are inspired by our space journey. Space is for all and is yours to discover!
Rice University engineers have created a light-powered catalyst that can break the strong chemical bonds in fluorocarbons, a group of synthetic materials that includes persistent environmental pollutants.
In a study published this month in Nature Catalysis, Rice nanophotonics pioneer Naomi Halas and collaborators at the University of California, Santa Barbara (UCSB) and Princeton University showed that tiny spheres of aluminum dotted with specks of palladium could break carbon-fluorine (C-F) bonds via a catalytic process known as hydrodefluorination in which a fluorine atom is replaced by an atom of hydrogen.
The strength and stability of C-F bonds are behind some of the 20th century’s most recognizable chemical brands, including Teflon, Freon and Scotchgard. But the strength of those bonds can be problematic when fluorocarbons get into the air, soil and water. Chlorofluorocarbons, or CFCs, for example, were banned by international treaty in the 1980s after they were found to be destroying Earth’s protective ozone layer, and other fluorocarbons were on the list of “forever chemicals” targeted by a 2001 treaty.
“The hardest part about remediating any of the fluorine-containing compounds is breaking the C-F bond; it requires a lot of energy,” said Halas, an engineer and chemist whose Laboratory for Nanophotonics (LANP) specializes in creating and studying nanoparticles that interact with light.
Over the past five years, Halas and colleagues have pioneered methods for making “antenna-reactor” catalysts that spur or speed up chemical reactions. While catalysts are widely used in industry, they are typically used in energy-intensive processes that require high temperature, high pressure or both. For example, a mesh of catalytic material is inserted into a high-pressure vessel at a chemical plant, and natural gas or another fossil fuel is burned to heat the gas or liquid that’s flowed through the mesh. LANP’s antenna-reactors dramatically improve energy efficiency by capturing light energy and inserting it directly at the point of the catalytic reaction.
In the Nature Catalysis study, the energy-capturing antenna is an aluminum particle smaller than a living cell, and the reactors are islands of palladium scattered across the aluminum surface. The energy-saving feature of antenna-reactor catalysts is perhaps best illustrated by another of Halas’ previous successes: solar steam. In 2012, her team showed its energy-harvesting particles could instantly vaporize water molecules near their surface, meaning Halas and colleagues could make steam without boiling water. To drive home the point, they showed they could make steam from ice-cold water.
The antenna-reactor catalyst design allows Halas’ team to mix and match metals that are best suited for capturing light and catalyzing reactions in a particular context. The work is part of the green chemistry movement toward cleaner, more efficient chemical processes, and LANP has previously demonstrated catalysts for producing ethylene and syngas and for splitting ammonia to produce hydrogen fuel.
Study lead author Hossein Robatjazi, a Beckman Postdoctoral Fellow at UCSB who earned his Ph.D. from Rice in 2019, conducted the bulk of the research during his graduate studies in Halas’ lab. He said the project also shows the importance of interdisciplinary collaboration.
“I finished the experiments last year, but our experimental results had some interesting features, changes to the reaction kinetics under illumination, that raised an important but interesting question: What role does light play to promote the C-F breaking chemistry?” he said.
The answers came after Robatjazi arrived for his postdoctoral experience at UCSB. He was tasked with developing a microkinetics model, and a combination of insights from the model and from theoretical calculations performed by collaborators at Princeton helped explain the puzzling results.
“With this model, we used the perspective from surface science in traditional catalysis to uniquely link the experimental results to changes to the reaction pathway and reactivity under the light,” he said.
The demonstration experiments on fluoromethane could be just the beginning for the C-F breaking catalyst.
“This general reaction may be useful for remediating many other types of fluorinated molecules,” Halas said.
Called “robotic soft matter by the Northwestern team,” the materials move without complex hardware, hydraulics or electricity. The researchers believe the lifelike materials could carry out many tasks, with potential applications in energy, environmental remediation and advanced medicine.
“We live in an era in which increasingly smarter devices are constantly being developed to help us manage our everyday lives,” said Northwestern’s Samuel I. Stupp, who led the experimental studies. “The next frontier is in the development of new science that will bring inert materials to life for our benefit — by designing them to acquire capabilities of living creatures.”
The research will be published on June 22  in the journal Nature Materials.
Stupp is the Board of Trustees Professor of Materials Science and Engineering, Chemistry, Medicine and Biomedical Engineering at Northwestern and director of the Simpson Querrey Institute He has appointments in the McCormick School of Engineering, Weinberg College of Arts and Sciences and Feinberg School of Medicine. George Schatz, the Charles E. and Emma H. Morrison Professor of Chemistry in Weinberg, led computer simulations of the materials’ lifelike behaviors. Postdoctoral fellow Chuang Li and graduate student Aysenur Iscen, from the Stupp and Schatz laboratories, respectively, are co-first authors of the paper.
Although the moving material seems miraculous, sophisticated science is at play. Its structure comprises nanoscale peptide assemblies that drain water molecules out of the material. An expert in materials chemistry, Stupp linked the peptide arrays to polymer networks designed to be chemically responsive to blue light.
When light hits the material, the network chemically shifts from hydrophilic (attracts water) to hydrophobic (resists water). As the material expels the water through its peptide “pipes,” it contracts — and comes to life. When the light is turned off, water re-enters the material, which expands as it reverts to a hydrophilic structure.
This is reminiscent of the reversible contraction of muscles, which inspired Stupp and his team to design the new materials.
“From biological systems, we learned that the magic of muscles is based on the connection between assemblies of small proteins and giant protein polymers that expand and contract,” Stupp said. “Muscles do this using a chemical fuel rather than light to generate mechanical energy.”
For Northwestern’s bio-inspired material, localized light can trigger directional motion. In other words, bending can occur in different directions, depending on where the light is located. And changing the direction of the light also can force the object to turn as it crawls on a surface.
Stupp and his team believe there are endless possible applications for this new family of materials. With the ability to be designed in different shapes, the materials could play a role in a variety of tasks, ranging from environmental clean-up to brain surgery.
“These materials could augment the function of soft robots needed to pick up fragile objects and then release them in a precise location,” he said. “In medicine, for example, soft materials with ‘living’ characteristics could bend or change shape to retrieve blood clots in the brain after a stroke. They also could swim to clean water supplies and sea water or even undertake healing tasks to repair defects in batteries, membranes and chemical reactors.”
Fascinating, eh? No batteries, no power source, just light to power movement. For the curious, here’s a link to and a citation for the paper,
I’ve bookended information about the talk with physicist Katie Mack at Canada’s Perimeter Institute on May 6, 2020 with two items on visual art and mathematics and the sciences.
You’ll find this image and a few more in a fascinating 2017 paper (see link and citation below) about mathematical sculpture,
Ferguson [Helaman Ferguson], who holds a doctorate in mathematics, never chose between art and science: now nearly 77 years old, he’s a mathematical sculptor. Working in stone and bronze, Ferguson creates sculptures, often placed on college campuses, that turn deep mathematical ideas into solid objects that anyone—seasoned professors, curious children, wayward mathophobes—can experience for themselves.
Mathematics has an intrinsic aesthetic—proofs are often described as “beautiful” or “elegant”—that can be difficult for mathematicians to communicate to outsiders, says Ferguson. “It isn’t something you can tell somebody about on the street,” he says. “But if I hand them a sculpture, they’re immediately relating to it.” Sculpture, he says, can tell a story about math in an accessible language.
Live webcast: theoretical cosmologist & science communicator Katie Mack
The live webcast will take place at 4 pm PT (1600 hours) on Wednesday, May 6, 2020. Here’s more about Katie Mack and the webcast from the event webpage (click through to the event page to get to the webcast) on the Perimeter Institute of Theoretical Physics (PI) website,
In a special live webcast on May 6  at 7 pm ET [4 pm PT], theoretical cosmologist and science communicator Katie Mack — known to her many Twitter followers as @astrokatie — will answer questions about her favourite subject: the end of the universe.
Mack, who holds a Simons Emmy Noether Visiting Fellowship at Perimeter, will give viewers a sneak peek at her upcoming book, The End of Everything (Astrophysically Speaking). She will then participate in a live “ask me anything” session, answering questions submitted via social media using the hashtag #piLIVE.
Mack is an Assistant Professor at North Carolina State University whose research investigates dark matter, vacuum decay, and the epoch of reionization. Mack is a popular science communicator on social media, and has contributed to Scientific American, Slate, Sky & Telescope, Time, and Cosmos.
Uniting quantum theory with Einstein’s Theory of General Relativity with a drawing about light
The article by Stephon Alexander was originally published March 16, 2017 for Nautilus. My excerpts are from a getpocket.com selection,
My aim as a theoretical physicist is to unite quantum theory with Einstein’s Theory of General Relativity. While there are a few proposals for this unification, such as string theory and loop quantum gravity, many roadblocks to a complete unification remain.
Einstein’s theory tells us the gravitational force is a direct manifestation of space and time bending. The sun bends the fabric of space, much like a sleeping person bends a mattress. Planetary orbits, including Earth’s, are motion along the contours of the bent space created by the sun. This theory provides some critical insights into the nature of light.
… one summer, I had the most unexpected breakthrough. Beth Jacobs, a member of the New York Academy of Sciences’ Board of Governors, invited me and some friends to her New York City apartment to meet the Oakes twins, artists who have gained attention in recent years for their drawings as well as the innovative technique and inventions they deploy to create them. An Oakes work, Irwin Gardens at the Getty in Winter (2011), an intricate drawing of the famous gardens designed by Robert Irwin at The Getty Museum in Los Angeles, was displayed on the balcony of Jacobs’ apartment overlooking Central Park, with the backdrop of the New York City skyline lit with a warm orange sky moments before sunset.
As I gazed at the drawing, I could feel the artists challenging me to reconsider the nature of light. I began to realize I should consider not only the physics of light, but also how light information is perceived by observers, when theorizing and conceiving new principles to unify quantum mechanics and general relativity. …
Ryan and Trevor Oakes, 35, have been exploring the impact and intersection of visual perception and the physics of light since they were kids. After attending The Cooper Union for the Advancement of Science and Art in New York City, and years of experimentation and inventing new techniques, the twins exploited the notion that light information is better described when originating from a spherical surface.
Weaving a quantum processor from light is a jaw-dropping event (as far as I’m concerned). An October 17, 2019 news item on phys.org makes the announcement,
An international team of scientists from Australia, Japan and the United States has produced a prototype of a large-scale quantum processor made of laser light.
Based on a design ten years in the making, the processor has built-in scalability that allows the number of quantum components—made out of light—to scale to extreme numbers. The research was published in Science today [October 18, 2019; Note: I cannot explain the discrepancy between the dates]].
Quantum computers promise fast solutions to hard problems, but to do this they require a large number of quantum components and must be relatively error free. Current quantum processors are still small and prone to errors. This new design provides an alternative solution, using light, to reach the scale required to eventually outperform classical computers on important problems.
“While today’s quantum processors are impressive, it isn’t clear if the current designs can be scaled up to extremely large sizes,” notes Dr Nicolas Menicucci, Chief Investigator at the Centre for Quantum Computation and Communication Technology (CQC2T) at RMIT University in Melbourne, Australia.
“Our approach starts with extreme scalability – built in from the very beginning – because the processor, called a cluster state, is made out of light.”
Using light as a quantum processor
A cluster state is a large collection of entangled quantum components that performs quantum computations when measured in a particular way.
“To be useful for real-world problems, a cluster state must be both large enough and have the right entanglement structure. In the two decades since they were proposed, all previous demonstrations of cluster states have failed on one or both of these counts,” says Dr Menicucci. “Ours is the first ever to succeed at both.”
To make the cluster state, specially designed crystals convert ordinary laser light into a type of quantum light called squeezed light, which is then weaved into a cluster state by a network of mirrors, beamsplitters and optical fibres.
The team’s design allows for a relatively small experiment to generate an immense two-dimensional cluster state with scalability built in. Although the levels of squeezing – a measure of quality – are currently too low for solving practical problems, the design is compatible with approaches to achieve state-of-the-art squeezing levels.
The team says their achievement opens up new possibilities for quantum computing with light.
“In this work, for the first time in any system, we have made a large-scale cluster state whose structure enables universal quantum computation.” Says Dr Hidehiro Yonezawa, Chief Investigator, CQC2T at UNSW Canberra. “Our experiment demonstrates that this design is feasible – and scalable.”
The experiment was an international effort, with the design developed through collaboration by Dr Menicucci at RMIT, Dr Rafael Alexander from the University of New Mexico and UNSW Canberra researchers Dr Hidehiro Yonezawa and Dr Shota Yokoyama. A team of experimentalists at the University of Tokyo, led by Professor Akira Furusawa, performed the ground-breaking experiment.
Here’s a link to and a citation for the paper,
Generation of time-domain-multiplexed two-dimensional cluster state by Warit Asavanant, Yu Shiozawa, Shota Yokoyama, Baramee Charoensombutamon, Hiroki Emura, Rafael N. Alexander, Shuntaro Takeda, Jun-ichi Yoshikawa, Nicolas C. Menicucci, Hidehiro Yonezawa, Akira Furusawa. Science 18 Oct 2019: Vol. 366, Issue 6463, pp. 373-376 DOI: 10.1126/science.aay2645
Researchers of the Optoelectronics and Measurement Techniques Unit (OPEM) at the University of Oulu [Finland] have invented a new method of producing ultra-sensitive hyper-spectral photodetectors. At the heart of the discovery are colloidal quantum dots, developed together with the researchers at the University of Toronto, Canada.
Quantum dots are tiny particles of 15-150 atoms of semiconducting material that have extraordinary optical and electrical properties due to quantum mechanics phenomena.
By controlling the size of the dots, the researchers are able to finetune how they react to different light colors (light wavelengths), especially those invisible for the human eye, namely the infrared spectrum.
-Naturally, it is very rewarding that our hard work has been recognized by the international scientific community but at the same time, this report helps us to realize that there is a long journey ahead in incoming years. This publication is especially satisfying because it is the result of collaboration with world-class experts at the University of Toronto, Canada. This international collaboration where we combined the expertise of Toronto’s researchers in synthesizing quantum dots and our expertise in printed intelligence resulted in truly unique devices with astonishing performance, says docent Rafal Sliz, a leading researcher in this project.
Mastered in the OPEM unit, inkjet printing technology makes possible the creation of optoelectronic devices by designing functional inks that are printed on various surfaces, for instance, flexible substrates, clothing or human skin. Inkjet printing combined with colloidal quantum dots allowed the creation of photodetectors of impresive detectivity characteristics. The developed technology is a milestone in the creation of a new type of sub-micron-thick, flexible, and inexpensive IR sensing devices, the next generation of solar cells and other novel photonic systems.
-Oulus’ engineers and scientists’ strong expertise in optoelectronics resulted in many successful Oulu-based companies like Oura, Specim, Focalspec, Spectral Engines, and many more. New optoelectronic technologies, materials, and methods developed by our researchers will help Oulu and Finland to stay at the cutting edge of innovation, says professor Tapio Fabritius, a leader of the OPEM.
There are three (or more?) possible applications including neuromorphic computing for this new optoelectronic technology which is based on black phophorus. A July 16, 2019 news item on Nanowerk announces the research,
Researchers from RMIT University [Australia] drew inspiration from an emerging tool in biotechnology – optogenetics – to develop a device that replicates the way the brain stores and loses information.
Optogenetics allows scientists to delve into the body’s electrical system with incredible precision, using light to manipulate neurons so that they can be turned on or off.
The new chip is based on an ultra-thin material that changes electrical resistance in response to different wavelengths of light, enabling it to mimic the way that neurons work to store and delete information in the brain.
Research team leader Dr Sumeet Walia said the technology moves us closer towards artificial intelligence (AI) that can harness the brain’s full sophisticated functionality.
“Our optogenetically-inspired chip imitates the fundamental biology of nature’s best computer – the human brain,” Walia said.
“Being able to store, delete and process information is critical for computing, and the brain does this extremely efficiently.
“We’re able to simulate the brain’s neural approach simply by shining different colours onto our chip.
“This technology takes us further on the path towards fast, efficient and secure light-based computing.
“It also brings us an important step closer to the realisation of a bionic brain – a brain-on-a-chip that can learn from its environment just like humans do.”
Dr Taimur Ahmed, lead author of the study published in Advanced Functional Materials, said being able to replicate neural behavior on an artificial chip offered exciting avenues for research across sectors.
“This technology creates tremendous opportunities for researchers to better understand the brain and how it’s affected by disorders that disrupt neural connections, like Alzheimer’s disease and dementia,” Ahmed said.
The researchers, from the Functional Materials and Microsystems Research Group at RMIT, have also demonstrated the chip can perform logic operations – information processing – ticking another box for brain-like functionality.
Developed at RMIT’s MicroNano Research Facility, the technology is compatible with existing electronics and has also been demonstrated on a flexible platform, for integration into wearable electronics.
How the chip works:
Neural connections happen in the brain through electrical impulses. When tiny energy spikes reach a certain threshold of voltage, the neurons bind together – and you’ve started creating a memory.
On the chip, light is used to generate a photocurrent. Switching between colors causes the current to reverse direction from positive to negative.
This direction switch, or polarity shift, is equivalent to the binding and breaking of neural connections, a mechanism that enables neurons to connect (and induce learning) or inhibit (and induce forgetting).
This is akin to optogenetics, where light-induced modification of neurons causes them to either turn on or off, enabling or inhibiting connections to the next neuron in the chain.
To develop the technology, the researchers used a material called black phosphorus (BP) that can be inherently defective in nature.
This is usually a problem for optoelectronics, but with precision engineering the researchers were able to harness the defects to create new functionality.
“Defects are usually looked on as something to be avoided, but here we’re using them to create something novel and useful,” Ahmed said.
“It’s a creative approach to finding solutions for the technical challenges we face.”
Gold, at the nanoscale, has different properties than it has at the macroscale and research at the University of Cambridge has found a new way to exploit gold’s unique properties at the nanoscale according to a May 13, 2019 news item item on ScienceDaily,
The smallest pixels yet created — a million times smaller than those in smartphones, made by trapping particles of light under tiny rocks of gold — could be used for new types of large-scale flexible displays, big enough to cover entire buildings.
The colour pixels, developed by a team of scientists led by the University of Cambridge, are compatible with roll-to-roll fabrication on flexible plastic films, dramatically reducing their production cost. The results are reported in the journal Science Advances [May 10, 2019].
It has been a long-held dream to mimic the colour-changing skin of octopus or squid, allowing people or objects to disappear into the natural background, but making large-area flexible display screens is still prohibitively expensive because they are constructed from highly precise multiple layers.
At the centre of the pixels developed by the Cambridge scientists is a tiny particle of gold a few billionths of a metre across. The grain sits on top of a reflective surface, trapping light in the gap in between. Surrounding each grain is a thin sticky coating which changes chemically when electrically switched, causing the pixel to change colour across the spectrum.
The team of scientists, from different disciplines including physics, chemistry and manufacturing, made the pixels by coating vats of golden grains with an active polymer called polyaniline and then spraying them onto flexible mirror-coated plastic, to dramatically drive down production cost.
The pixels are the smallest yet created, a million times smaller than typical smartphone pixels. They can be seen in bright sunlight and because they do not need constant power to keep their set colour, have an energy performance that makes large areas feasible and sustainable. “We started by washing them over aluminized food packets, but then found aerosol spraying is faster,” said co-lead author Hyeon-Ho Jeong from Cambridge’s Cavendish Laboratory.
“These are not the normal tools of nanotechnology, but this sort of radical approach is needed to make sustainable technologies feasible,” said Professor Jeremy J Baumberg of the NanoPhotonics Centre at Cambridge’s Cavendish Laboratory, who led the research. “The strange physics of light on the nanoscale allows it to be switched, even if less than a tenth of the film is coated with our active pixels. That’s because the apparent size of each pixel for light is many times larger than their physical area when using these resonant gold architectures.”
The pixels could enable a host of new application possibilities such as building-sized display screens, architecture which can switch off solar heat load, active camouflage clothing and coatings, as well as tiny indicators for coming internet-of-things devices. The team are currently working at improving the colour range and are looking for partners to develop the technology further.
The research is funded as part of a UK Engineering and Physical Sciences Research Council (EPSRC) investment in the Cambridge NanoPhotonics Centre, as well as the European Research Council (ERC) and the China Scholarship Council.
This image accompanies the press release,
Here’s a link to and a citation for the paper,
Scalable electrochromic nanopixels using plasmonics by Jialong Peng, Hyeon-Ho Jeong, Qianqi Lin, Sean Cormier, Hsin-Ling Liang, Michael F. L. De Volder, Silvia Vignolini, and Jeremy J. Baumberg. Science Advances Vol. 5, no. 5, eaaw2205 DOI: 10.1126/sciadv.aaw2205 Published: 01 May 2019
This January 2, 2019 news item on ScienceDaily describes the object seen in the above and describes the problem it’s designed to solve,
University of Arizona biomedical engineering professor Philipp Gutruf is first author on the paper Fully implantable, optoelectronic systems for battery-free, multimodal operation in neuroscience research, published in Nature Electronics.
Optogenetics is a biological technique that uses light to turn specific neuron groups in the brain on or off. For example, researchers might use optogenetic stimulation to restore movement in case of paralysis or, in the future, to turn off the areas of the brain or spine that cause pain, eliminating the need for — and the increasing dependence on — opioids and other painkillers.
“We’re making these tools to understand how different parts of the brain work,” Gutruf said. “The advantage with optogenetics is that you have cell specificity: You can target specific groups of neurons and investigate their function and relation in the context of the whole brain.”
In optogenetics, researchers load specific neurons with proteins called opsins, which convert light to electrical potentials that make up the function of a neuron. When a researcher shines light on an area of the brain, it activates only the opsin-loaded neurons.
The first iterations of optogenetics involved sending light to the brain through optical fibers, which meant that test subjects were physically tethered to a control station. Researchers went on to develop a battery-free technique using wireless electronics, which meant subjects could move freely.
But these devices still came with their own limitations — they were bulky and often attached visibly outside the skull, they didn’t allow for precise control of the light’s frequency or intensity, and they could only stimulate one area of the brain at a time.
“With this research, we went two to three steps further,” Gutruf said. “We were able to implement digital control over intensity and frequency of the light being emitted, and the devices are very miniaturized, so they can be implanted under the scalp. We can also independently stimulate multiple places in the brain of the same subject, which also wasn’t possible before.”
The ability to control the light’s intensity is critical because it allows researchers to control exactly how much of the brain the light is affecting — the brighter the light, the farther it will reach. In addition, controlling the light’s intensity means controlling the heat generated by the light sources, and avoiding the accidental activation of neurons that are activated by heat.
The wireless, battery-free implants are powered by external oscillating magnetic fields, and, despite their advanced capabilities, are not significantly larger or heavier than past versions. In addition, a new antenna design has eliminated a problem faced by past versions of optogenetic devices, in which the strength of the signal being transmitted to the device varied depending on the angle of the brain: A subject would turn its head and the signal would weaken.
“This system has two antennas in one enclosure, which we switch the signal back and forth very rapidly so we can power the implant at any orientation,” Gutruf said. “In the future, this technique could provide battery-free implants that provide uninterrupted stimulation without the need to remove or replace the device, resulting in less invasive procedures than current pacemaker or stimulation techniques.”
Devices are implanted with a simple surgical procedure similar to surgeries in which humans are fitted with neurostimulators, or “brain pacemakers.” They cause no adverse effects to subjects, and their functionality doesn’t degrade in the body over time. This could have implications for medical devices like pacemakers, which currently need to be replaced every five to 15 years.
The paper also demonstrated that animals implanted with these devices can be safely imaged with computer tomography, or CT, and magnetic resonance imaging, or MRI, which allow for advanced insights into clinically relevant parameters such as the state of bone and tissue and the placement of the device.
This image of a combined MRI (magnetic resonance image) and CT (computer tomography) scan bookends, more or less, the picture of the device which headed this piece,
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.
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: https://doi.org/10.1002/aelm.201800782 First published [online]: 30 January 2019 Note: there is another DOI, https://doi.org/10.1002/aelm.201970022 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),
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.