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Enabling the future: printable sensors for a sustainable, intelligent world

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Join us for an exciting webinar exploring the cutting-edge science and technology driving the development of next-generation printable sensors. These sensors, made from printable materials using simple and cost-effective methods such as printing and coating, are set to revolutionize a wealth of intelligent and sustainability-focused applications, such as smart cities, e-health, precision agriculture, Industry 4.0, and much more. Their distinct advantages – flexibility, minimal environmental impact, and suitability for high-throughput production– make them a transformative technology across various fields.

Building on the success of the Roadmap on printable electronic materials for next-generation sensors published in Nano Futures, our expert panel will offer a comprehensive overview of advancements in printable materials and devices for next-generation sensors. The webinar will explore how innovations in devices based on various printable materials, including 2D semiconductors, organic semiconductors, perovskites, and carbon nanotubes, are transforming sensor technologies for detecting light, ionizing radiation, pressure, gases, and biological substances.

Join us as we explore the status and recent breakthroughs in printable sensing materials, identify key remaining challenges, and discuss promising solutions, offering valuable insights into the potential of printable materials to enable smarter, more sustainable development.

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Meet the esteemed panel of experts:

Vincenzo Pecunia is an associate professor and head of the Sustainable Optoelectronics Research Group at Simon Fraser University. He earned a BSc and MSc in electronics engineering from Politecnico di Milano and a PhD in physics from the University of Cambridge. His research focuses on printable semiconductors for electronics, sensing, and photovoltaics. In recognition of his achievements, he has been awarded the Fellowship of the Institute of Physics, the Fellowship of the Institute of Materials, Minerals & Mining, and the Fellowship of the Institution of Engineering and Technology.

Mark C Hersam is the Walter P Murphy Professor of Materials Science and Engineering, director of the Materials Research Center, and chair of the Materials Science and Engineering Department at Northwestern University (USA). His research interests include nanomaterials, additive manufacturing, nanoelectronics, scanning probe microscopy, renewable energy, and quantum information science. Mark has been repeatedly named a Clarivate Analytics Highly Cited Researcher with more than 700 peer-reviewed publications that have been cited more than 75,000 times.

Oana D Jurchescu is a Baker Professor of physics at Wake Forest University (USA) and a fellow of the Royal Society of Chemistry. She received her PhD in 2006 from University of Groningen (the Netherlands) and was a postdoctoral researcher at the National Institute of Standards and Technology (USA). Her expertise is in charge transport in organic and organic/inorganic hybrid semiconductors, device physics, and semiconductor processing. She has received numerous awards for her research and teaching excellence, including the NSF CAREER Award.

Robert Young is an emeritus professor at the University of Manchester (UK), renowned for his pioneering research on the relationship between the structure and mechanical properties of polymers and composites. His work explores the molecular-level deformation of materials such as carbon fibres, spider silk, carbon-fibre composites, carbon nanotubes, and graphene. Robert has received many prestigious awards. He was elected a fellow of the Royal Society in 2013 and a fellow of the Royal Academy of Engineering in 2006. He has written more than 330 research papers and several textbooks on polymers.

Luisa Petti received her MSc in electronic engineering from Politecnico di Milano (Italy) in 2011. She obtained her PhD in electrical engineering from ETH Zurich (Switzerland) in 2016 with a thesis entitled “Metal oxide semiconductor thin-film transistors for flexible electronics”, for which she won the ETH medal. After a short postdoc at ETH Zurich, she joined first Cambridge Display Technology Ltd in October 2016 and then FlexEnable Ltd in December 2017 in Cambridge, UK, as a scientist. In 2018, she joined the Free University of Bozen-Bolzano, where she is Associate Professor in Electronics since March 2021. Luisa’s current research includes the design, fabrication and characterization of flexible and printable sensors, energy harvesters, and thin-film devices and circuits, with a focus on sustainable and low-cost materials and manufacturing processes.

Aaron D Franklin is the Addy Professor of electrical and computer engineering and associate dean for faculty affairs in the Pratt School of Engineering at Duke University. His research group explores the use of 1D and 2D nanomaterials for high-performance nanoscale devices, low-cost printed and recyclable electronics, and biomedical sensing systems. Aaron is an IEEE Fellow and has published more than 100 scientific papers in the field of nanomaterial-based electronics. He holds more than 50 issued patents and has been engaged in two funded start-ups, one of which was acquired by a Fortune 500 company.

With support from:

The School of Sustainable Energy Engineering (SEE) sits within Simon Fraser University’s Faculty of Applied Sciences. Its research and academic domain involves the development of solutions for the harvesting, storage, transmission and use of energy, with careful consideration of economic, environmental, societal and cultural implications.

About this journal

Nano Futures is a multidisciplinary, high-impact journal publishing fundamental and applied research at the forefront of nanoscience and technological innovation.

Editor-in-chief: Amanda Barnard, senior professor of computational science and the deputy director of the School of Computing at the Australian National University

 

Rotating cylinder amplifies electromagnetic fields

Physicists have observed the Zel’dovich effect in an electromagnetic system – something that was thought to be incredibly difficult to do until now. This observation, in a simplified induction generator, suggests that the effect could in fact be quite fundamental in nature.

In 1971, the Russian physicist Yakov Zel’dovich predicted that electromagnetic waves scattered by a rotating metallic cylinder should be amplified by gaining mechanical rotational energy from the cylinder. The effect, explains Marion Cromb of the University of Southampton, works as follows: waves with angular momentum – or twist – that would usually be absorbed by an object, instead become amplified by that object. However, this amplification only occurs if a specific condition is met: namely, that the object is rotating at an angular velocity that’s higher than the frequency of the incoming waves divided by the wave angular momentum number. In this specific electromagnetic experiment, this number was 1, due to spin angular momentum, but it can be larger.

In previous work, Cromb and colleagues tested this theory in sound waves, but until now, it had never been proven with electromagnetic waves.

Spin component is amplified

In their new experiments, which are detailed in Nature Communications, the researchers used a gapped inductor to induce a magnetic field that oscillates at an AC frequency around a smooth cylinder made of aluminium. The gapped inductor comprises an AC current-carrying wire coiled around an iron ring with a gap in it. “This oscillating field is an easy way to create the sum of two spinning fields in opposite directions,” explains Cromb. “When the cylinder rotates faster than the field frequency, it thus amplifies the spin component rotating in the same direction.”

The cylinder acts as a resistor in the circuit when it is not moving, but as it rotates, its resistance decreases. As the rotation speed increases, after the Zel’dovich condition has been met, the resistance becomes negative. “We measured the power in the circuit at different rotation speeds and observed that it was indeed amplified once the cylinder span fast enough,” says Cromb.

Until now, it was thought that observing the Zel’dovich effect in an electromagnetic system would not be possible. This was because, in Zel’dovich’s predictions, the condition for amplification (while simple in description), would only be possible if the cylinder was rotating at speeds close to the speed of light. “Any slower, and the effect would be too small to be seen,” Cromb adds.

Once they had demonstrated the Zel’dovich effect with sound waves, the Southampton University scientists – together with their theory colleagues at the University of Glasgow and IFN Trento – realized that they could overcome some of the limitations of Zel’dovich’s example while still testing the amplification condition. “The actual experimental set-up is surprisingly simple,” Cromb tells Physics World.

Observing the effect on a quantum level?

Knowing that this effect is present in different physical systems, both in acoustics and now in electromagnetic circuits, suggests that it is quite fundamental in nature, Cromb says. And seeing it in an electromagnetic system means that the team might now be able to observe the effect on a quantum level. “This would be a fascinating test of how quantum mechanics, thermodynamics and (rotational) motion all work together.”

Looking forward, the researchers will now attempt to improve their experimental set-up. At present, it relies on an oscillating magnetic field that contains equal co-rotating and counter-rotating spin components. Only one of these should be Zel’dovich-amplified by the rotating cylinder (the co-rotating component) while the other is only ever absorbed, explains Cromb. “Ideally, we want to switch to a rotating magnetic field so we can confirm that it is only when the field and cylinder rotate in the same direction that the amplification occurs. This would mean that the whole field can be amplified and not just part of it.”

The team has already made some progress in this direction by switching to using a cylindrical stator (the stationary part), not just because it can create such a rotating magnetic field, but also because it fits snugly around the cylinder and thus interacts more strongly with it. This should increase the size of the Zel’dovich effect so it can be more easily measured.

“We hope that these improvements will help us also show a situation akin to a ‘black hole bomb’ where the Zel’dovich amplification gets reflected back efficiently enough to create a positive feedback loop, and the power in the circuit skyrockets exponentially,” says Cromb.

Structural battery is world’s strongest, say researchers

A prototype described as the world’s strongest functional structural battery has been unveiled by researchers in Sweden. The device has an elastic modulus that is much higher than any previous design and was developed by Leif Asp and his colleagues at Chalmers University of Technology. The battery could be an important step towards lighter and more space-efficient electric vehicles (EVs).

Structural batteries are an emerging technology that store electrical energy while also bearing mechanical loads. They could be especially useful in EVs, where the extra weight and volume associated with batteries could be minimized by incorporating the batteries into a vehicle’s structural components.

In 2018, Asp’s team made a promising step towards practical structural batteries – and was rewarded with a mention in Physics World‘s Top ten breakthroughs of 2018. That year, the team showed how a trade-off could be reached between the mechanical strength of highly ordered carbon fibres and the desired electrochemical properties of less-ordered structures.

Building on this, Asp and colleagues unveiled their first-generation structural battery in 2021. “Here, we used carbon fibres as the negative electrode but a commercial lithium iron phosphate (LFP) on an aluminium foil as a positive electrode, and impregnated it with the resin by hand,” Asp recalls.

Solid–liquid electrolyte

This involved using a biphasic solid–liquid electrolyte, with the liquid phase transporting ions between the electrodes and the solid phase providing mechanical structure through its stiffness. The battery offered a gravimetric energy density of 24 Wh/kg. This much lower than the conventional batteries currently used in EVs – which deliver about 250 Wh/kg.

By 2023, Asp’s team had improved on this approach with a second-generation structural battery that used the same constituents, but employed an improved manufacturing method. This time, the team used an infusion technique to ensure the resin was distributed more evenly throughout the carbon fibre network.

In this incarnation, the team enhanced the battery’s negative electrode by using ultra-thin spread tow carbon fibre, where the fibres are spread into thin sheets. This approach improved both the mechanical strength and the electrical conductivity of the battery. At that stage, however, the mechanical strength of the battery was still limited by the LFP positive electrode.

Now, the team has addressed this challenge by using a carbon fibre-based positive electrode. Asp says, “This is the third generation, and is the first all-fibre structural battery, as has always been desired. Using carbon fibres in both electrodes, we could boost the battery’s elastic modulus, without suffering from reduced energy density.”

To achieve this, the researchers coated the surface of the carbon fibres with a layer of LFP using electrophoretic deposition. This is a technique whereby charged particles suspended in a liquid are deposited onto substrates using electric fields. Additionally, the team used a thin cellulose separator to further enhance the battery’s energy density.

All of these components were then embedded in the battery’s structural electrolyte and cured in resin, using the same infusion technique developed for the second-generation battery.

Stronger and denser

The latest improvements delivered a battery with an energy density of 30 Wh/kg and an elastic modulus greater than 76 GPa when tested in a direction parallel to the carbon fibres. This makes it by far the strongest structural battery reported to date, exceeding the team’s previous record of 25 GPa and making the battery stiffer than aluminium. Alongside its good mechanical performance, the battery also demonstrated nearly 100% efficiency in storing and releasing charge, even after 1000 cycles of charging and discharging.

Building on this success, the team now aims to further enhance the battery’s performance. “We are now working on small modifications to the current design,” Asp says. “We expect to be able to make structural battery cells with an elastic modulus exceeding 100 GPa and an energy density exceeding 50 Wh/kg.”

This ongoing work could pave the way for even stronger and more efficient structural batteries, which could have a transformative impact on the design and performance of EVs in the not-too-distant future. It could also help reduce the weight of laptop computers, aeroplanes and ships.

The research is described in Advanced Materials.

Nickel langbeinite might be a new quantum spin liquid candidate

A nickel-based material belonging to the langbeinite family could be a new three-dimensional quantum spin liquid candidate, according to new experiments at the ISIS Neutron and Muon Source in the UK. The work, performed by researchers from the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, the Helmholtz-Zentrum Berlin (HZB) in Germany and Okayama University in Japan, is at the fundamental research stage for the moment.

Quantum spin liquids (QSLs) are magnetic materials that cannot arrange their magnetic moments (or spins) into a regular and stable pattern. This “frustrated” behaviour is very different from that of ordinary ferromagnets or antiferromagnets, which have spins that point in the same or alternating directions, respectively. Instead, the spins in QSLs constantly change direction as if they were in a fluid, producing an entangled ensemble of spin-ups and spin-downs even at ultracold temperatures, where the spins of most materials freeze solid.

So far, only a few real-world QSL materials have been observed, mostly in quasi-one-dimensional chain-like magnets and a handful of two-dimensional materials. The new candidate material – K2Ni2(SO4)3 – is a langbeinite, a family of sulphate minerals rarely found in nature whose chemical compositions can be changed by replacing one or two of the elements in the compound. K2Ni2(SO4)3 is composed of a three-dimensional network of corner-sharing triangles forming two trillium lattices made from the nickel ions. The magnetic network of langbeinite shares some similarities with the QSL pyrochlore lattice, which researchers have been studying for the last 30 years, but is also quite different in many ways.

A strongly correlated ground state at up to 20 K

The researchers, led by Ivica Živković at the EPFL, fabricated the new material especially for their study. In their previous work, which was practically the first investigation of the magnetic properties of langbeinites, they showed that the compound has a strongly correlated ground state at temperatures of up to at least 20 K.

In their latest work, they used a technique called inelastic neutron scattering, which can measure magnetic excitations, at the ISIS Neutron and Muon Source of the STFC Rutherford Appleton Laboratory to directly observe this correlation.

Theoretical calculations by Okayama University’s Harald Jeschke, which included density functional theory-based energy mappings, and classical Monte Carlo and pseudo-fermion functional renormalization group (PFFRG) calculations, performed by Johannes Reuther at the HZB to model the behaviour of K2Ni2(SO4)3, agreed exceptionally well with the experimental measurements. In particular, the phase diagram of the material revealed a “centre of liquidity” that corresponds to the trillium lattice in which each triangle is turned into a tetrahedron.

Particular set of interactions supports spin-liquid behaviour

The researchers say that they undertook the new study to better understand why the ground state of this material was so dynamic. Once they had performed their theoretical calculations and could model the material’s behaviour, the challenge was to identify the type of geometric frustration that was at play. “K2Ni2(SO4)3 is described by five magnetic interactions (J1, J2, J3, J4 and J5), but the highly frustrated tetra-trillium lattice has only one non-zero J,” explains Živković. “It took us some time to first find this particular set of interactions and then to prove that it supports spin-liquid behaviour.”

Now that we know where the highly frustrated behaviour comes from, the question is whether some exotic quasiparticles can be associated with this new spin arrangement, he tells Physics World.

Živković says the research, which is detailed in Nature Communications, remains in the realm of fundamental research for the moment and that it is too early to talk about any real-world applications.

Metasurface-enhanced camera performs hyperspectral and polarimetric imaging

A team of US-based researchers has developed an inexpensive and ultrathin metasurface that, when paired with a neural network, enables a conventional camera to capture detailed hyperspectral and polarization data from a single snapshot. The innovation could pave the way for significant advances in medical diagnostics, environmental monitoring, remote sensing and even consumer electronics.

The research team, based at Pennsylvania State University, designed a large set of silicon-based meta-atoms with unique spectral and polarization responses. When spatially arranged within small “superpixels” these meta-atoms are capable of encoding both spectral and polarization information into distinct patterns that traditional cameras cannot detect. To recover this information into a format understandable by humans, the team uses machine learning algorithms to recognize these patterns and map them back to their corresponding encoded information.

“A normal camera typically captures only the intensity distribution of light and is insensitive to its spectral and polarization properties. Our metasurface consists of numerous distinct meta-atoms, each designed to exhibit different transmission characteristics for various incoming spectra and polarization states,” explains lead corresponding author Xingjie Ni.

“The metasurface consists of many such superpixels; the patterns generated by these superpixels are then captured by a conventional camera sensor,” he adds. “Essentially, the metasurface translates information that is normally invisible to the camera into a format it can detect. Each superpixel corresponds to one pixel in the final image, allowing us to obtain not only intensity information but also the spectrum and polarization data for each pixel.”

Widespread applications

In terms of potential applications, Ni pictures the technology enabling the development of miniaturized and portable hyperspectro-polarimetry imaging systems, which he believes could revolutionize the abilities of existing imaging systems. “For instance, we might develop a small add-on for smartphone cameras to enhance their capabilities, allowing users to capture rich spectral and polarization information that was previously inaccessible in such a compact form,” he says.

According to Ni, traditional hyperspectral and polarimetric cameras, which often are bulky and expensive to produce, capture either spectral or polarization data, but not both simultaneously. Such systems are also limited in resolution, not easily integrated into compact devices, and typically require complex alignment and calibration.

In contrast, the team’s metasurface encoder is ultracompact, lightweight and cost-effective. “By integrating it directly onto a conventional camera sensor, we eliminate the need for additional bulky components, reducing the overall size and complexity of the system,” says Ni.

Ni also observes that the metasurface’s ability to encode spectral and polarization information into intensity patterns enables simultaneous hyperspectral and polarization imaging without significant modifications to existing imaging systems. Moreover, the flexibility in designing the meta-atoms enables the team to achieve high-resolution and high-sensitivity detection of spectral and polarization variations.

“This level of customization and integration is difficult to attain with traditional optical systems. Our approach also reduces data redundancy and improves imaging speed, which is crucial for applications in dynamic, high-speed environments,” he says.

Moving forward, Ni confirms that he and his team have applied for a patent to protect the technology and facilitate its commercialization. They are now working on robust integration techniques and exploring ways to further reduce manufacturing costs by utilizing photolithography for large-scale production of the metasurfaces, which should make the technology more accessible for widespread applications.

“In addition, the concept of a light ‘encoder’ is versatile and can be extended to other aspects of light beyond spectral and polarization information,” says Ni.

“Our group is actively developing different metasurface encoders designed to capture the phase and temporal information of the light field,” he tells Physics World. “This could open up new possibilities in fields like optical computing, telecommunications and advanced imaging systems. We are excited about the potential impact of this technology and are committed to advancing it further.”

The results of the research are presented in Science Advances.

Physicists reveal the mechanics of tea scum

If you have ever brewed a cup of black tea with hard water you will be familiar with the oily film that can form on the surface of the tea after just a few minutes.

Known as “tea scum” the film consists of calcium carbonate crystals within an organic matrix. Yet it can be easily broken apart with a quick stir of a teaspoon.

Physicists in France and the UK have now examined how this film forms and also what happens when it breaks apart through stirring.

They did so by first sprinkling graphite powder into a water tank. Thanks to capillary forces, the particles gradually clump together to form rafts. The researchers then generated waves in the tank that broke apart the rafts and filmed the process with a camera.

Through these experiments and theoretical modelling, they found that the rafts break up when diagonal cracks form at the raft’s centre. This causes them to fracture into larger chunks before the waves eventually eroded them away.

They found that the polygonal shapes created when the rafts split up is the same as that seen in ice floes.

Despite the visual similarities, however, sea ice and tea scum break up through different physical mechanisms. While ice is brittle, bending and snapping under the weight of crushing waves, the graphite rafts come apart when the viscous stress exerted by the waves overcome the capillary forces that hold the individual particles together.

Buoyed by their findings, the researchers now plan to use their model to explain the behaviour of other thin biofilms, such as pond scum.

Positronium gas is laser-cooled to one degree above absolute zero

29-09-2024 positron cooling

Researchers at the University of Tokyo have published a paper in the journal Nature that describes a new laser technique that is capable of cooling a gas of positronium atoms to temperatures as low as 1 K. Written by Kosuke Yoshioka and colleagues at the University of Tokyo, the paper follows on from a publication earlier this year from the AEgIS team at CERN, who described how a different laser technique was used to cool positronium to 170 K.

Positronium comprises a single electron bound to its antimatter counterpart, the positron. Although electrons and positrons will ultimately annihilate each other, they can briefly bind together to form an exotic atom. Electrons and positrons are fundamental particles that are nearly point like, so positronium provides a very simple atomic system for experimental study. Indeed, this simplicity means that precision studies of positronium could reveal new physics beyond the Standard Model.

Quantum electrodynamics

One area of interest is the precise measurement of the energy required to excite positronium from its ground state to its first excited state. Such measurements could enable more rigorous experimental tests of quantum electrodynamics (QED). While QED has been confirmed to extraordinary precision, any tiny deviations could reveal new physics.

An important barrier to making precision measurements is the inherent motion of positronium atoms. “This large randomness of motion in positronium is caused by its short lifetime of 142 ns, combined with its small mass − 1000 times lighter than a hydrogen atom,” Yoshioka explains. “This makes precise studies challenging.”

In 1988, two researchers at Lawrence Livermore National Laboratory in the US published a theoretical exploration of how the challenge could be overcome by using laser cooling to slow positronium atoms to very low speeds. Laser cooling is routinely used to cool conventional atoms and involves having the atoms absorb photons and then re-emitting the photons in random directions.

Chirped pulse train

Building on this early work, Yoshioka’s team has developed new laser system that is ideal for cooling positronium. Yoshioka explains that in the Tokyo setup, “the laser emits a chirped pulse train, with the frequency increasing at 500 GHz/μs, and lasting 100 ns. Unlike previous demonstrations, our approach is optimized to cool positronium to ultralow velocities.”

In a chirped pulse, the frequency of the laser light increases over the duration of the pulse. It allows the cooling system to respond to the slowing of the atoms by keeping the photon absorption on resonance.

Using this technique, Yoshioka’s team successfully cooled positronium atoms to temperatures around 1 K, all within just 100 ns. “This temperature is significantly lower than previously achieved, and simulations suggested that an even lower temperature in the 10 mK regime could be realized via a coherent mechanism,” Yoshioka says. Although the team’s current approach is still some distance from achieving this “recoil limit” temperature, the success of their initial demonstration has given them confidence that further improvements could bring them closer to this goal.

“This breakthrough could potentially lead to stringent tests of particle physics theories and investigations into matter-antimatter asymmetry,” Yoshioka predicts. “That might allow us to uncover major mysteries in physics, such as the reason why antimatter is almost absent in our universe.”

Ask me anything: Fatima Gunning – ‘Thinking outside the box is a winner when it comes to problem solving’

What skills do you use every day in your job?

I am fortunate to have several different roles, and problem-solving is a skill I use in each. As physicists, we’re constantly solving problems in different ways, and, as researchers, we are always trying to question the unknown. To understand the physical world more, we need to be curious and willing to reformulate our questions when they are challenged.

Researchers need to keep asking ‘Why?’ Trying to understand a problem or challenge – listening and considering other views – is essential.

In everyday work such as administration, research, teaching and mentoring, I also find that thinking outside the box is a winner when it comes to problem solving. I try not to just go along with whatever the team or the group is thinking. Instead, I try to consider different points of view. Researchers need to keep asking ‘Why?’ Trying to understand a problem or challenge – listening and considering other views – is essential.

Another critical skill I use is communication. In my work, I need to be able to listen, speak and write a lot. It could be to convey why our research is important and why it should be funded. It could be to craft new policies, mediate conflict or share research findings clearly with colleagues, students, managers and members of the public. So communication is definitely key.

What do you like best and least about your job?

I graduated about 30 years ago and, during that time, the things I like best or least have never stayed the same. At the moment, the best part of my job is working with research students – not just at master’s and PhD level, but final-year undergraduates who might be getting hands-on experience in a lab for the first time. There’s great satisfaction and a sense of “job well done” whenever I demonstrate a concept they’ve known for several years but have never “seen” in action. When they shout “Ah, I get it!”, it’s a great feeling. It’s also really rewarding to receive similar reactions from my education and public engagement work, such as when I visit primary and secondary schools.

At the moment, my least favourite part of my job is the lack of time. I’m not very good at time management, and I find it hard to say “no” to people in need, especially if I know how to help them. It’s difficult to juggle work, mentoring, volunteering activities and home life. During the COVID-19 pandemic, I realized that taking time off to pursue a hobby is vital – not only for my wellbeing but also to give me clarity in decision making.

What do you know today that you wish you knew when you were starting out in your career?

I wish I had realized the important of mentorship sooner. Throughout my career, I’ve had people who’ve supported me along the way. It might just have been a brief conversation in the corridor, help with a grant application or a serendipitous chat at a conference, although at other times it might have been through in-depth discussion of my work. I only started to regard the help as “mentorship” when I did a leadership course that included mentor/mentee training. Looking back, those encounters really boosted my confidence and helped me make rational choices.

There are so many opportunities to meet people in your field and people are always happy to share their experiences

Once you realize what mentors can do, you can plan to speak to people strategically. These conversations can help you make decisions and introduce you to new contacts. They can also help you understand what career paths are available – it’s okay to take your time to explore career options or even to change direction. Students and young professionals should also engage with professional societies, such as the Institute of Physics. There are so many opportunities to meet people in your field and people are always happy to share their experiences. We need to come out of our “shy” shells and talk to people, no matter how senior and famous they are. That’s certainly the message I’d have given myself 30 years ago.

Knowledge grows step-by-step despite the exponential growth of papers, finds study

Scientific knowledge is growing at a linear rate despite an exponential increase in publications. That’s according to a study by physicists in China and the US, who say their finding points to a decline in overall scientific productivity. The study therefore contradicts the notion that productivity and knowledge grow hand in hand – but adds weight to the view that the rate of scientific discovery may be slowing or that “information fatigue” and the vast number of papers can drown out new discoveries.

Defining knowledge is complex, but it can be thought of as a network of interconnected beliefs and information. To measure it, the authors previously created a knowledge quantification index (KQI). This tool uses various scientific impact metrics to examine the network structures created by publications and their citations and quantifies how well publications reduce the uncertainty of the network, and thus knowledge.

The researchers claim the tool’s effectiveness has been validated through multiple approaches, including analysing the impact of work by Nobel laureates.

In the latest study, published on arXiv, the team analysed 213 million scientific papers, published between 1800 and 2020, as well as 7.6 million patents filed between 1976 and 2020. Using the data, they built annual snapshots of citation networks, which they then scrutinised with the KQI to observe changes in knowledge over time.

The researchers – based at Shanghai Jiao Tong University in Shanghai, the University of Minnesota in the US and the Institute of Geographic Sciences and Natural Resources Research in Beijing –found that while the number of publications has been increasing exponentially, knowledge has not.

Instead, their KQI suggests that knowledge has been growing in a linear fashion. Different scientific disciplines do display varying rates of knowledge growth, but they all have the same linear growth pattern. Patent growth was found to be much slower than publication growth but also shows the linear growth in the KQI.

According to the authors, the analysis indicates “no significant change in the rate of human knowledge acquisition”, suggesting that our understanding of the world has been progressing at a steady pace.

If scientific productivity is defined as the number of papers required to grow knowledge, this signals a significant decline in productivity, the authors claim.

The analysis also revealed inflection points associated with new discoveries, major breakthroughs and other important developments, with knowledge growing at different linear rates before and after.

Such inflection points create the illusion of exponential knowledge growth due to the sudden alteration in growth rates, which may, according to the study authors, have led previous studies to conclude that knowledge is growing exponentially.

Research focus

“Research has shown that the disruptiveness of individual publications – a rough indicator of knowledge growth – has been declining over recent decades,” says Xiangyi Meng, a physicist at Northwestern University in the US, who works in network science but was not involved in the research. “This suggests that the rate of knowledge growth must be slower than the exponential rise in the number of publications.”

Meng adds, however, that the linear growth finding is “surprising” and “somewhat pessimistic” – and that further analysis is needed to confirm if knowledge growth is indeed linear or whether it “more likely, follows a near-linear polynomial pattern, considering that human civilization is accelerating on a much larger scale”.

Due to the significant variation in the quality of scientific publications, Meng says that article growth may “not be a reliable denominator for measuring scientific efficiency”. Instead, he suggests that analysing research funding and how it is allocated and evolves over time might be a better focus.

Genetically engineered bacteria solve computational problems

Cell-based biocomputing is a novel technique that uses cellular processes to perform computations. Such micron-scale biocomputers could overcome many of the energy, cost and technological limitations of conventional microprocessor-based computers, but the technology is still very much in its infancy. One of the key challenges is the creation of cell-based systems that can solve complex computational problems.

Now a research team from the Saha Institute of Nuclear Physics in India has used genetically modified bacteria to create a cell-based biocomputer with problem-solving capabilities. The researchers created 14 engineered bacterial cells, each of which functioned as a modular and configurable system. They demonstrated that by mixing and matching appropriate modules, the resulting multicellular system could solve nine yes/no computational decision problems and one optimization problem.

The cellular system, described in Nature Chemical Biology, can identify prime numbers, check whether a given letter is a vowel, and even determine the maximum number of pizza or pie slices obtained from a specific number of straight cuts. Here, senior author Sangram Bagh explains the study’s aims and findings.

How does cell-based computing work?

Living cells use computation to carry out biological tasks. For instance, our brain’s neurons communicate and compute to make decisions; and in the event of an external attack, our immune cells collaborate, compute and make judgements. The development of synthetic biology opens up new avenues for engineering live cells to carry out human-designed computation.

The fusion of biology and computer science has resulted in the development of living cell-based biocomputers to solve computational problems. Here, living cells are engineered to use as circuits and components to build biocomputers. Lately, researchers have been manipulating living cells to find solutions for maze and graph colouring puzzles.

Why did you employ bacteria to perform the computations?

Bacteria are single-cell organisms, 2–5 µm in size, with fast replication times (about 30 min). They can survive in many conditions and require minimum energy, thus they provide an ideal chassis for building micron-scale computer technology. We chose to use Escherichia coli, as it has been studied in detail and is easy to manipulate, making it a logical choice to build a biocomputer.

How did you engineer the bacteria to solve problems?

We built synthetic gene regulatory networks in bacteria in such a way that each bacterium worked as an artificial neuro-synapse. In this way, 14 genetically engineered bacteria were created, each acting like an artificial neuron, which we named “bactoneurons”. When these bactoneurons are mixed in a liquid culture in a test tube, they create an artificial neural network that can solve computational problems. The “LEGO-like” system incorporates 14 engineered cells (the “LEGO blocks”) that you can mix and match to build one of 12 specific problem solvers on demand.

How do the bacteria report their answers?

We pose problems to the bacteria in a chemical space using a binary system. The bacteria were questioned by adding (“one”) or not adding (“zero”) four specific chemicals. The bacterial artificial neural network analysed the data and responded by producing different fluorescent proteins. For example, when we asked if three is a prime number, in response to this question, the bacteria glowed green to print “yes”. Similarly, when we asked if four was a prime number, the bacteria glowed red and said “no”.

How could such a biocomputer be used in real-world applications?

Bacteria are tiny organisms, about one-twentieth the diameter of a human hair. It is not possible to make a silicon computer so small. Making such a small computer with bacteria will open a new horizon in microscale computer technology. Its use will extend from new medical technology and material technology to space technology.

For example, one may imagine a set of engineered bacteria or other cells within the human body taking decisions and acting upon a particular disease state, based on multiple biochemical and physiological cues.

Scientists have proposed using synthetically engineered organisms to help in situ resource utilization to build a human research base on Mars. However, it may not be possible to instruct each of the organisms remotely to perform a specific task based on local conditions. Now, one can imagine the tiny engineered organisms working as a biocomputer, interacting with each other, and taking autonomous decisions on action without any human intervention.

The importance of this work in basic science is also immense. We know that recognizing prime numbers or vowels can only be done by humans or computers – but now genetically engineered bacteria are doing the same. Such observations raise new questions about the meaning of “intelligence” and offer some insight on the biochemical nature and the origin of intelligence.

What are you planning to do next?

We would like to build more complex biocomputers to perform more complex computation tasks with multitasking capability. The ultimate goal is to build artificially intelligent bacteria.

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