Monthly Archives: April 2023

Modernizing ‘Maxwell’s demon’ for a quantum computing feat

Maxwell is James Clerk Maxwell, a Scottish mathematician and scientist, considered a genius for his work on electromagnetism. His ‘demon’ is a thought experiment that has influenced research for over 150 years as this November 29, 2022 news item on ScienceDaily makes clear,

A team of quantum engineers at UNSW [University of New South Wales] Sydney has developed a method to reset a quantum computer — that is, to prepare a quantum bit in the ‘0’ state — with very high confidence, as needed for reliable quantum computations. The method is surprisingly simple: it is related to the old concept of ‘Maxwell’s demon’, an omniscient being that can separate a gas into hot and cold by watching the speed of the individual molecules.

A November 30, 2022 UNSW press release (also on EurekAlert but published on November 29, 2022), which originated the news item, modernizes the demon,

“Here we used a much more modern ‘demon’ – a fast digital voltmeter – to watch the temperature of an electron drawn at random from a warm pool of electrons. In doing so, we made it much colder than the pool it came from, and this corresponds to a high certainty of it being in the ‘0’ computational state,” says Professor Andrea Morello of UNSW, who led the team.

“Quantum computers are only useful if they can reach the final result with very low probability of errors. And one can have near-perfect quantum operations, but if the calculation started from the wrong code, the final result will be wrong too. Our digital ‘Maxwell’s demon’ gives us a 20x improvement in how accurately we can set the start of the computation.”

The research was published in Physical Review X, a journal published by the American Physical Society.

Watching an electron to make it colder

Prof. Morello’s team has pioneered the use of electron spins in silicon to encode and manipulate quantum information, and demonstrated record-high fidelity – that is, very low probability of errors – in performing quantum operations. The last remaining hurdle for efficient quantum computations with electrons was the fidelity of preparing the electron in a known state as the starting point of the calculation.

“The normal way to prepare the quantum state of an electron is go to extremely low temperatures, close to absolute zero, and hope that the electrons all relax to the low-energy ‘0’ state,” explains Dr Mark Johnson, the lead experimental author on the paper. “Unfortunately, even using the most powerful refrigerators, we still had a 20 per cent chance of preparing the electron in the ‘1’ state by mistake. That was not acceptable, we had to do better than that.”

Dr Johnson, a UNSW graduate in Electrical Engineering, decided to use a very fast digital measurement instrument to ‘watch’ the state of the electron, and use real-time decision-making processor within the instrument to decide whether to keep that electron and use it for further computations. The effect of this process was to reduce the probability of error from 20 per cent to 1 per cent.

A new spin on an old idea

“When we started writing up our results and thought about how best to explain them, we realized that what we had done was a modern twist on the old idea of the ‘Maxwell’s demon’,” Prof. Morello says.

The concept of ‘Maxwell’s demon’ dates back to 1867, when James Clerk Maxwell imagined a creature with the capacity to know the velocity of each individual molecule in a gas. He would take a box full of gas, with a dividing wall in the middle, and a door that can be opened and closed quickly. With his knowledge of each molecule’s speed, the demon can open the door to let the slow (cold) molecules pile up on one side, and the fast (hot) ones on the other.

“The demon was a thought experiment, to debate the possibility of violating the second law of thermodynamics, but of course no such demon ever existed,” Prof. Morello says.

“Now, using fast digital electronics, we have in some sense created one. We tasked him with the job of watching just one electron, and making sure it’s as cold as it can be. Here, ‘cold’ translates directly in it being in the ‘0’ state of the quantum computer we want to build and operate.”

The implications of this result are very important for the viability of quantum computers. Such a machine can be built with the ability to tolerate some errors, but only if they are sufficiently rare. The typical threshold for error tolerance is around 1 per cent. This applies to all errors, including preparation, operation, and readout of the final result.

This electronic version of a ‘Maxwell’s demon’ allowed the UNSW team to reduce the preparation errors twenty-fold, from 20 per cent to 1 per cent.

“Just by using a modern electronic instrument, with no additional complexity in the quantum hardware layer, we’ve been able to prepare our electron quantum bits within good enough accuracy to permit a reliable subsequent computation,” Dr Johnson says.

“This is an important result for the future of quantum computing. And it’s quite peculiar that it also represents the embodiment of an idea from 150 years ago!”

Hat’s off to whoever prepared the opening sequences for this informative and entertaining video from UNSW,

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

Beating the Thermal Limit of Qubit Initialization with a Bayesian Maxwell’s Demon by Mark A. I. Johnson, Mateusz T. Mądzik, Fay E. Hudson, Kohei M. Itoh, Alexander M. Jakob, David N. Jamieson, Andrew Dzurak, and Andrea Morello. Phys. Rev. X 12, 041008 Vol. 12, Iss. 4: October – December 2022 Published 25 October 2022

This paper is open access.

For years, James Clerk Maxwell’s role as a poet has fascinated me. Yes, a physicist who wrote poetry about physics and other matters as noted in my April 24, 2019 (The poetry of physics from Canada’s Perimeter Institute) where you’ll find poems by various physicists including the aforementioned Maxwell, as well as, a link to the original Perimeter Institute for Theoretical Physics (PI) posting featuring the excerpted poems even more physics poems.

Final Call For Papers for IEEE MetroXRAINE 2023 Special Session on “eXtended Reality as a gateway to the Metaverse: Practices, Theories, Technologies and Applications” extended to April 7, 2023

I received an April 5, 2023 announcement for the 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering (IEEE MetroXRAINE 2023) via email. Understandably given that it’s an Institute of Electrical and Electronics Engineers (IEEE) conference, they’re looking for submissions focused on developing the technology,

Last days to submit your contribution to our Special Session on “eXtended Reality as a gateway to the Metaverse: Practices, Theories, Technologies and Applications” – IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering (IEEE MetroXRAINE 2023) – October 25-27, 2023 – Milan – https://metroxraine.org/special-session-17.

I want to remind you that the deadline of April 7 [2023] [extended to April 14, 2023 as per April 11, 2023 notice received via email] is for the submission of a 1-2 page Abstract or a Graphical Abstract to show the idea you are proposing.
You will have time to finalise your work by the deadline of May 15 [2023].

Please see the CfP below for details and forward it to colleagues who might be interested in contributing to this special session.

I’m looking forward to meeting you, virtually or in your presence, at IEEE MetroXRAINE 2023.

Best regards,
Giuseppe Caggianese

Research Scientist
National Research Council (CNR) [Italy]
Institute for High-Performance Computing and Networking (ICAR)
Via Pietro Castellino 111, 80131, Naples, Italy

Here’s are specific for the Special Session’s Call for Papers (from the April 5, 2023 email announcement),

Call for Papers – Special Session on: “EXTENDED REALITY AS A GATEWAY TO THE METAVERSE: PRACTICES, THEORIES, TECHNOLOGIES AND APPLICATIONS” https://metroxraine.org/special-session-17

2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering (IEEE MetroXRAINE 2023) https://metroxraine.org/

October 25-27, 2023 – Milan, Italy.

SPECIAL SESSION DESCRIPTION
————————-
The fast development of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) solutions over the last few years are transforming how people interact, work, and communicate. The eXtended Reality (XR) term encloses all those immersive technologies that can shift the boundaries between digital and physical worlds to realize the metaverse. According to tech companies and venture capitalists, the metaverse will be a super-platform that convenes sub-platforms: social media, online video games, and ease-of-life apps, all accessible through the same digital space and sharing the same digital economy. Inside the metaverse, virtual worlds will allow avatars to carry out all human endeavours, including creation, display, entertainment, social, and trading. Thus, the metaverse will evolve how users interact with brands, intellectual properties, health services, cultural heritage, and each other things on the Internet. A user could join friends to play a multiplayer game, watch a movie via a streaming service and then attend a university course precisely the same as in the real world.
The metaverse development will require new software architecture that will enable decentralized and collaborative virtual worlds. These self-organized virtual worlds will be permanent and will require maintenance operations. In addition, it will be necessary to design an efficient data management system and prevent privacy violations. Finally, the convergence of physical reality, virtually enhanced, and an always-on virtual space highlighted the need to rethink the actual paradigms for visualization, interaction, and sharing of digital information, moving toward more natural, intuitive, dynamically customizable, multimodal, and multi-user solutions.
This special session aims to focus on exploring how the realization of the metaverse can transform certain application domains such us: (i) healthcare, in which the metaverse solutions can, for instance, improve the communication between patients and physicians; (ii) cultural heritage, with potentially more effective solutions for tourism guidance, site maintenance, and heritage object conservation; and (iii) industry, where to enable data-driven decision making, smart maintenance, and overall asset optimisation.

More information can be found here: https://metroxraine.org/special-session-17

TOPICS

The topics of interest include, but are not limited to, the following:

  • Hardware/Software Architectures for metaverse
  • Decentralized and Collaborative Architectures for metaverse
  • Interoperability for metaverse
  • Tools to help creators to build the metaverse0
  • Operations and Maintenance in metaverse
  • Data security and privacy mechanisms for metaverse
  • Cryptocurrency, token, NFT Solutions for metaverse
  • Fraud-Detection in metaverse
  • Cyber Security for metaverse
  • Data Analytics to Identify Malicious Behaviors in metaverse
  • Blockchain/AI technologies in metaverse
  • Emerging Technologies and Applications for metaverse
  • New models to evaluate the impact of the metaverse
  • Interactive Data Exploration and Presentation in metaverse
  • Human-Computer Interaction for metaverse
  • Human factors issues related to metaverse
  • Proof-of-Concept in Metaverse: Experimental Prototyping and Testbeds

IMPORTANT DATES

Abstract Submission Deadline: April 7, 2023 (extended) NOTE: 1-2 pages abstract or a graphical abstract
Final Paper Submission Deadline: May 15, 2023 (extended)
Full Paper Acceptance Notification: June 15, 2023
Final Paper Submission Deadline: July 31, 2023

SUBMISSION AND DECISIONS
————————
Authors should prepare an Abstract (1 – 2 pages) that clearly indicates the originality of the contribution and the relevance of the work. The Abstract should include the title of the paper, names and affiliations of the authors, an abstract, keywords, an introduction describing the nature of the problem, a description of the contribution, the results achieved and their applicability.

As an alternative to the traditional abstract, it is possible to submit a Graphical Abstract. For further information, please see here: https://metroxraine.org/initial-author-instructions.

When the first review process has been completed, authors receive a notification of either acceptance or rejection of the submission. If the abstract has been accepted, the authors can prepare a full paper.
The format for the full paper is identical to the format for the abstract except for the number of pages: the full paper has a required minimum length of five (5) pages and a maximum of six (6) pages.
Full Papers will be reviewed by the Technical Program Committee. Authors of accepted full papers must submit the final paper version according to the deadline, register for the workshop, and attend to present their papers. The maximum length for final papers is 6 pages.
All contributions will be peer-reviewed and acceptance will be based on quality, originality and relevance. Accepted papers will be submitted for inclusion into IEEE Xplore Digital Library.

Submissions must be written in English and prepared according to the IEEE Conference Proceedings template. LaTeX and Word templates and an Overleaf sample project can be found at: https://metroxraine.org/initial-author-instructions.

The papers must be submitted in PDF format electronically via EDAS online submission and review system: https://edas.info/newPaper.php?c=30746.
To submit abstracts or draft papers to the special session, please follow the submission instructions for regular sessions, but remind to specify the special session to which the paper is directed.

The special session organizers and other external reviewers will review all submissions.

More information can be found here: https://metroxraine.org/initial-author-instructions

CONFERENCE PROCEEDINGS
———————————–
All contributions will be peer-reviewed, and acceptance will be based on quality, originality, and relevance. Accepted papers will be submitted for inclusion into IEEE Xplore Digital Library.

Extended versions of presented papers are eligible for post-publication; more information will be provided soon.

ORGANIZERS
————-
Giuseppe Caggianese
National Research Council of Italy
giuseppe.caggianese@cnr.it

Ugo Erra
University of Basilicata
ugo.erra@unibas.it

Luigi Gallo
National Research Council of Italy
luigi.gallo@cnr.it

Good luck!

Algorithmic haiku: Basho in the machine

There is a lot of anxiety about artificial intelligence in the arts, which can only be exacerbated by a question such as this, from a December 2, 2022 news item on ScienceDaily,

Can artificial intelligence write better poetry than humans?

The gap between human creativity and artificial intelligence seems to be narrowing. Previous studies have compared AI-generated versus human-written poems and whether people can distinguish between them.

The answer doesn’t seem all that comforting and a December 2, 2022 Kyoto University press release (also on EurekAlert but published December 1, 2022), which originated the news item, provides more detail, some of it disconcerting,

Now, a study led by Yoshiyuki Ueda at Kyoto University Institute for the Future of Human and Society [Japan], has shown AI’s potential in creating literary art such as haiku — the shortest poetic form in the world — rivaling that of humans without human help.

Ueda’s team compared AI-generated haiku without human intervention, also known as human out of the loop, or HOTL, with a contrasting method known as human in the loop, or HITL.

The project involved 385 participants, each of whom evaluated 40 haiku poems — 20 each of HITL and HOTL — plus 40 composed entirely by professional haiku writers.

“It was interesting that the evaluators found it challenging to distinguish between the haiku penned by humans and those generated by AI,” remarks Ueda.

From the results, HITL haiku received the most praise for their poetic qualities, whereas HOTL and human-only verses had similar scores.

“In addition, a phenomenon called algorithm aversion was observed among our evaluators. They were supposed to be unbiased but instead became influenced by a kind of reverse psychology,” explains the author.

“In other words, they tended to unconsciously give lower scores to those they felt were AI-generated.”

Ueda points out that his research has put a spotlight on algorithm aversion as a new approach to AI art.

“Our results suggest that the ability of AI in the field of haiku creation has taken a leap forward, entering the realm of collaborating with humans to produce more creative works. Realizing the existence of algorithmic aversion will lead people to re-evaluate their appreciation of AI art.”

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

Does human–AI collaboration lead to more creative art? Aesthetic evaluation of human-made and AI-generated haiku poetry by Jimpei Hitsuwari, Yoshiyuki Ueda, Woojin Yun, Michio Nomura. Computers in Human Behavior Volume 139, February 2023, 107502 DOI: https://doi.org/10.1016/j.chb.2022.107502 Available online 4 October 2022, Version of Record 22 October 2022.

This paper is behind a paywall.

For those unfamiliar with Matsuo Bashō, he’s considered Japan’s most famous poet from the Edo period and Japan’s greatest master of haiku according to his Wikipedia entry. You can also find out more about Basho at the Poetry Foundation.

Graphene goes to the moon

The people behind the European Union’s Graphene Flagship programme (if you need a brief explanation, keep scrolling down to the “What is the Graphene Flagship?” subhead) and the United Arab Emirates have got to be very excited about the announcement made in a November 29, 2022 news item on Nanowerk, Note: Canadians too have reason to be excited as of April 3, 2023 when it was announced that Canadian astronaut Jeremy Hansen was selected to be part of the team on NASA’s [US National Aeronautics and Space Administration] Artemis II to orbit the moon (April 3, 2023 CBC news online article by Nicole Mortillaro) ·

Graphene Flagship Partners University of Cambridge (UK) and Université Libre de Bruxelles (ULB, Belgium) paired up with the Mohammed bin Rashid Space Centre (MBRSC, United Arab Emirates), and the European Space Agency (ESA) to test graphene on the Moon. This joint effort sees the involvement of many international partners, such as Airbus Defense and Space, Khalifa University, Massachusetts Institute of Technology, Technische Universität Dortmund, University of Oslo, and Tohoku University.

The Rashid rover is planned to be launched on 30 November 2022 [Note: the launch appears to have occurred on December 11, 2022; keep scrolling for more about that] from Cape Canaveral in Florida and will land on a geologically rich and, as yet, only remotely explored area on the Moon’s nearside – the side that always faces the Earth. During one lunar day, equivalent to approximately 14 days on Earth, Rashid will move on the lunar surface investigating interesting geological features.

A November 29, 2022 Graphene Flagship press release (also on EurekAlert), which originated the news item, provides more details,

The Rashid rover wheels will be used for repeated exposure of different materials to the lunar surface. As part of this Material Adhesion and abrasion Detection experiment, graphene-based composites on the rover wheels will be used to understand if they can protect spacecraft against the harsh conditions on the Moon, and especially against regolith (also known as ‘lunar dust’).

Regolith is made of extremely sharp, tiny and sticky grains and, since the Apollo missions, it has been one of the biggest challenges lunar missions have had to overcome. Regolith is responsible for mechanical and electrostatic damage to equipment, and is therefore also hazardous for astronauts. It clogs spacesuits’ joints, obscures visors, erodes spacesuits and protective layers, and is a potential health hazard.  

University of Cambridge researchers from the Cambridge Graphene Centre produced graphene/polyether ether ketone (PEEK) composites. The interaction of these composites with the Moon regolith (soil) will be investigated. The samples will be monitored via an optical camera, which will record footage throughout the mission. ULB researchers will gather information during the mission and suggest adjustments to the path and orientation of the rover. Images obtained will be used to study the effects of the Moon environment and the regolith abrasive stresses on the samples.

This moon mission comes soon after the ESA announcement of the 2022 class of astronauts, including the Graphene Flagship’s own Meganne Christian, a researcher at Graphene Flagship Partner the Institute of Microelectronics and Microsystems (IMM) at the National Research Council of Italy.

“Being able to follow the Moon rover’s progress in real time will enable us to track how the lunar environment impacts various types of graphene-polymer composites, thereby allowing us to infer which of them is most resilient under such conditions. This will enhance our understanding of how graphene-based composites could be used in the construction of future lunar surface vessels,” says Sara Almaeeni, MBRSC science team lead, who designed Rashid’s communication system.

“New materials such as graphene have the potential to be game changers in space exploration. In combination with the resources available on the Moon, advanced materials will enable radiation protection, electronics shielding and mechanical resistance to the harshness of the Moon’s environment. The Rashid rover will be the first opportunity to gather data on the behavior of graphene composites within a lunar environment,” says Carlo Iorio, Graphene Flagship Space Champion, from ULB.

Leading up to the Moon mission, a variety of inks containing graphene and related materials, such as conducting graphene, insulating hexagonal boron nitride and graphene oxide, semiconducting molybdenum disulfide, prepared by the University of Cambridge and ULB were also tested on the MAterials Science Experiment Rocket 15 (MASER 15) mission, successfully launched on the 23rd of November 2022 from the Esrange Space Center in Sweden. This experiment, named ARLES-2 (Advanced Research on Liquid Evaporation in Space) and supported by European and UK space agencies (ESA, UKSA) included contributions from Graphene Flagship Partners University of Cambridge (UK), University of Pisa (Italy) and Trinity College Dublin (Ireland), with many international collaborators, including Aix-Marseille University (France), Technische Universität Darmstadt (Germany), York University (Canada), Université de Liège (Belgium), University of Edinburgh and Loughborough.

This experiment will provide new information about the printing of GMR inks in weightless conditions, contributing to the development of new addictive manufacturing procedures in space such as 3d printing. Such procedures are key for space exploration, during which replacement components are often needed, and could be manufactured from functional inks.

“Our experiments on graphene and related materials deposition in microgravity pave the way addictive manufacturing in space. The study of the interaction of Moon regolith with graphene composites will address some key challenges brought about by the harsh lunar environment,” says Yarjan Abdul Samad, from the Universities of Cambridge and Khalifa, who prepared the samples and coordinated the interactions with the United Arab Emirates.    

“The Graphene Flagship is spearheading the investigation of graphene and related materials (GRMs) for space applications. In November 2022, we had the first member of the Graphene Flagship appointed to the ESA astronaut class. We saw the launch of a sounding rocket to test printing of a variety of GRMs in zero gravity conditions, and the launch of a lunar rover that will test the interaction of graphene—based composites with the Moon surface. Composites, coatings and foams based on GRMs have been at the core of the Graphene Flagship investigations since its beginning. It is thus quite telling that, leading up to the Flagship’s 10th anniversary, these innovative materials are now to be tested on the lunar surface. This is timely, given the ongoing effort to bring astronauts back to the Moon, with the aim of building lunar settlements. When combined with polymers, GRMs can tailor the mechanical, thermal, electrical properties of then host matrices. These pioneering experiments could pave the way for widespread adoption of GRM-enhanced materials for space exploration,” says Andrea Ferrari, Science and Technology Officer and Chair of the Management Panel of the Graphene Flagship. 

Caption: The MASER15 launch Credit: John-Charles Dupin

A pioneering graphene work and a first for the Arab World

A December 11, 2022 news item on Alarabiya news (and on CNN) describes the ‘graphene’ launch which was also marked the Arab World’s first mission to the moon,

The United Arab Emirates’ Rashid Rover – the Arab world’s first mission to the Moon – was launched on Sunday [December 11, 2022], the Mohammed bin Rashid Space Center (MBRSC) announced on its official Twitter account.

The launch came after it was previously postponed for “pre-flight checkouts.”

The launch of a SpaceX Falcon 9 rocket carrying the UAE’s Rashid rover successfully took off from Cape Canaveral, Florida.

The Rashid rover – built by Emirati engineers from the UAE’s Mohammed bin Rashid Space Center (MBRSC) – is to be sent to regions of the Moon unexplored by humans.

What is the Graphene Flagship?

In 2013, the Graphene Flagship was chosen as one of two FET (Future and Emerging Technologies) funding projects (the other being the Human Brain Project) each receiving €1 billion to be paid out over 10 years. In effect, it’s a science funding programme specifically focused on research, development, and commercialization of graphene (a two-dimensional [it has length and width but no depth] material made of carbon atoms).

You can find out more about the flagship and about graphene here.

Dynamic molecular switches for brainlike computing at the University of Limerick

Aren’t memristors proof that brainlike computing at the molecular and atomic levels is possible? It seems I have misunderstood memristors according to this November 21, 2022 news item on ScienceDaily,

A breakthrough discovery at University of Limerick in Ireland has revealed for the first time that unconventional brain-like computing at the tiniest scale of atoms and molecules is possible.

Researchers at University of Limerick’s Bernal Institute worked with an international team of scientists to create a new type of organic material that learns from its past behaviour.

The discovery of the ‘dynamic molecular switch’ that emulate[s] synaptic behaviour is revealed in a new study in the international journal Nature Materials.

The study was led by Damien Thompson, Professor of Molecular Modelling in UL’s Department of Physics and Director of SSPC, the UL-hosted Science Foundation Ireland Research Centre for Pharmaceuticals, together with Christian Nijhuis at the Centre for Molecules and Brain-Inspired Nano Systems in University of Twente [Netherlands] and Enrique del Barco from University of Central Florida.

A November 21, 2022 University of Limerick press release (also on EurekAlert), which originated the news item, provides more technical details about the research,

Working during lockdowns, the team developed a two-nanometre thick layer of molecules, which is 50,000 times thinner than a strand of hair and remembers its history as electrons pass through it.

Professor Thompson explained that the “switching probability and the values of the on/off states continually change in the molecular material, which provides a disruptive new alternative to conventional silicon-based digital switches that can only ever be either on or off”.

The newly discovered dynamic organic switch displays all the mathematical logic functions necessary for deep learning, successfully emulating Pavlovian ‘call and response’ synaptic brain-like behaviour.

The researchers demonstrated the new materials properties using extensive experimental characterisation and electrical measurements supported by multi-scale modelling spanning from predictive modelling of the molecular structures at the quantum level to analytical mathematical modelling of the electrical data.

To emulate the dynamical behaviour of synapses at the molecular level, the researchers combined fast electron transfer (akin to action potentials and fast depolarization processes in biology) with slow proton coupling limited by diffusion (akin to the role of biological calcium ions or neurotransmitters).

Since the electron transfer and proton coupling steps inside the material occur at very different time scales, the transformation can emulate the plastic behaviour of synapse neuronal junctions, Pavlovian learning, and all logic gates for digital circuits, simply by changing the applied voltage and the duration of voltage pulses during the synthesis, they explained.

“This was a great lockdown project, with Chris, Enrique and I pushing each other through zoom meetings and gargantuan email threads to bring our teams combined skills in materials modelling, synthesis and characterisation to the point where we could demonstrate these new brain-like computing properties,” explained Professor Thompson.

“The community has long known that silicon technology works completely differently to how our brains work and so we used new types of electronic materials based on soft molecules to emulate brain-like computing networks.”

The researchers explained that the method can in the future be applied to dynamic molecular systems driven by other stimuli such as light and coupled to different types of dynamic covalent bond formation.

This breakthrough opens up a whole new range of adaptive and reconfigurable systems, creating new opportunities in sustainable and green chemistry, from more efficient flow chemistry production of drug products and other value-added chemicals to development of new organic materials for high density computing and memory storage in big data centres.

“This is just the start. We are already busy expanding this next generation of intelligent molecular materials, which is enabling development of sustainable alternative technologies to tackle grand challenges in energy, environment, and health,” explained Professor Thompson.

Professor Norelee Kennedy, Vice President Research at UL, said: “Our researchers are continuously finding new ways of making more effective, more sustainable materials. This latest finding is very exciting, demonstrating the reach and ambition of our international collaborations and showcasing our world-leading ability at UL to encode useful properties into organic materials.”

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

Dynamic molecular switches with hysteretic negative differential conductance emulating synaptic behaviour by Yulong Wang, Qian Zhang, Hippolyte P. A. G. Astier, Cameron Nickle, Saurabh Soni, Fuad A. Alami, Alessandro Borrini, Ziyu Zhang, Christian Honnigfort, Björn Braunschweig, Andrea Leoncini, Dong-Cheng Qi, Yingmei Han, Enrique del Barco, Damien Thompson & Christian A. Nijhuis. Nature Materials volume 21, pages 1403–1411 (2022) DOI: https://doi.org/10.1038/s41563-022-01402-2 Published: 21 November 2022 Issue Date: December 2022

This paper is behind a paywall.