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Biochemistry

Photonic Computing Needs More Nonlinearity: Acoustics Can Help

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our brains. To be able to work, several key ingredients are required: one of them is an activation function which introduces nonlinearity into the structure. A photonic activation function has important advantages for the implementation of optical neural networks based on light propagation. Researchers have now experimentally shown an all-optically controlled activation function based on traveling sound waves. It is suitable for a wide range of optical neural network approaches and allows operation in the so-called synthetic frequency dimension.

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The use of artificial intelligence (AI) has become ubiquitous in various fields, from data analysis to image recognition. Its performance has surpassed that of humans in many areas, but its energy consumption is vast and will increase exponentially in the upcoming years. To address this issue, scientists are researching physical systems that could support or partially replace electronic systems for certain tasks.

Artificial neural networks (ANNs) inspired by the brain are one such option. They consist of nodes linked in a complex structure, most commonly implemented using digital connections. However, recent experience with training large language models has made it clear that their energy consumption is substantial. Therefore, scientists are exploring alternative physical systems, including optics and photonics.

Optics and photonics have several advantages over conventional electronic systems, such as high bandwidths and information encoding in high-dimensional symbols. They also allow parallel processing and connection to established systems like the optical fiber-based world-wide internet. When scaling up, photonics holds the promise of lower energy consumption for complex problems.

Researchers at the Stiller Research Group at the Max Planck Institute for the Science of Light (MPL) and Leibniz University Hannover (LUH), in collaboration with Dirk Englund at MIT, have now experimentally demonstrated an all-optically controlled activation function based on traveling sound waves. This development is essential for photonic computing, a physical analog computing alternative that promises to be able to realize energy-efficient AI in the long term.

The nonlinear activation function is crucial for deep learning models to learn complex tasks. In optical neural networks, these parts should ideally be implemented in the photonic domain as well. For the weighted sum – a matrix operator – a plethora of photonic approaches already exist. However, few approaches have been demonstrated experimentally for the nonlinear activation function.

The scientists’ approach uses sound waves as a mediator to introduce nonlinearity into photonic computing systems. The optical information does not need to leave the optical domain and is directly processed in optical fibers or photonic waveguides. Via the effect of stimulated Brillouin scattering, the optical input information undergoes a nonlinear change depending on the level of optical intensity.

“Our photonic activation function can be tuned in a versatile way: we show the implementation of a sigmoid, ReLU, and quadratic function,” says one of the lead authors, Grigorii Slinkov. “An interesting advantage comes from a strict phase-matching rule in stimulated Brillouin scattering: different optical frequencies – for parallel computing – can be addressed individually, which may enhance the computational performance of the neural network.”

Including a photonic activation function in an optical neural network preserves the bandwidth of the optical data, avoids electro-optic conversion, and maintains the coherence of the signal. The versatile control of the nonlinear activation function with the help of sound waves allows the implementation of the scheme in existing optical fiber systems as well as photonic chips.

The long-term prospect of creating more energy-efficient optical neural networks depends on whether it is possible to scale up physical computing systems, a process potentially facilitated by a photonic activation function. As Birgit Stiller, head of the research group “Quantum Optoacoustics,” notes, “The long-term prospect of creating more energy efficient optical neural networks depends on whether we are able to scale up the physical computing systems, a process potentially facilitated by a photonic activation function.”

Biochemistry

Shape-Shifting Catalysts: Revolutionizing Green Chemistry with a Single Atom

A team in Milan has developed a first-of-its-kind single-atom catalyst that acts like a molecular switch, enabling cleaner, more adaptable chemical reactions. Stable, recyclable, and eco-friendly, it marks a major step toward programmable sustainable chemistry.

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The scientific community has witnessed a groundbreaking development in sustainable chemistry with the creation of a shape-shifting single-atom catalyst at the Politecnico di Milano. This innovative material has demonstrated the capability to selectively adapt its chemical activity, paving the way for more efficient and programmable industrial processes.

Published in the Journal of the American Chemical Society, one of the world’s most esteemed scientific journals in chemistry, this study marks a significant breakthrough in the field of single-atom catalysts. For the first time, scientists have successfully designed a material that can change its catalytic function depending on the chemical environment, much like a ‘molecular switch.’ This allows complex reactions to be performed more cleanly and efficiently, using less energy than conventional processes.

The research focuses on a palladium-based catalyst in atomic form encapsulated in a specially designed organic structure. This unique setup enables the material to ‘switch’ between two essential reactions in organic chemistry – bioreaction and carbon-carbon coupling – simply by varying the reaction conditions. The team has successfully demonstrated this phenomenon, showcasing the potential for more intelligent, selective, and sustainable chemical transformations.

Lead researcher Gianvito Vilé, lecturer at the Politecnico di Milano’s ‘Giulio Natta’ Department of Chemistry, Materials and Chemical Engineering, emphasizes the significance of their discovery: “We have created a system that can modulate catalytic reactivity in a controlled manner, paving the way for more intelligent, selective, and sustainable chemical transformations.”

The new catalyst stands out not only for its reaction flexibility but also for its stability, recyclability, and reduced environmental impact. ‘Green’ analyses conducted by the team reveal a substantial decrease in waste and hazardous reagents, making it an exemplary model for sustainable chemistry.

This study is the result of an international collaboration with esteemed institutions from around the world, including the University of Milan-Bicocca, the University of Ostrava (Czech Republic), the University of Graz (Austria), and Kunsan National University (South Korea). The joint efforts of these researchers have led to a groundbreaking achievement that has far-reaching implications for the field of green chemistry.

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Biochemistry

Scientists Finally Tame the Impossible: A Stable 48-Atom Carbon Ring is Achieved

Researchers have synthesized a stable cyclo[48]carbon, a unique 48-carbon ring that can be studied in solution at room temperature, a feat never achieved before.

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The discovery of a new type of molecular carbon allotrope, known as cyclocarbon, has been a long-standing challenge for chemists. A team of researchers from Oxford University’s Department of Chemistry, led by Dr Yueze Gao and senior author Professor Harry Andersen, have successfully synthesized a stable 48-atom carbon ring in solution at room temperature. This achievement marks a significant breakthrough in the field, as previous attempts to study cyclocarbons were limited to the gas phase or extremely low temperatures (4 to 10 K).

The researchers employed a unique approach by synthesizing a cyclocarbon catenane, where the C48 ring is threaded through three other macrocycles. This design increases the stability of the molecule, preventing access to the sensitive cyclocarbon core. The team developed mild reaction conditions for the unmasking step in the synthesis process, which allowed them to achieve a stable cyclocarbon in solution at 20°C.

The cyclocarbon catenane was characterized using various spectroscopic techniques, including mass spectrometry, NMR, UV-visible, and Raman spectroscopy. The observation of a single intense 13C NMR resonance for all 48 sp1 carbon atoms provides strong evidence for the cyclocarbon catenane structure.

Lead author Dr Yueze Gao stated that achieving stable cyclocarbons in a vial at ambient conditions is a fundamental step, making it easier to study their reactivity and properties under normal laboratory conditions. Senior author Professor Harry Andersen added that this achievement marks the culmination of a long endeavor, with the original grant proposal written in 2016 based on preliminary results from 2012-2015.

The study also involved researchers from the University of Manchester, the University of Bristol, and the Central Laser Facility, Rutherford Appleton Laboratory. This collaborative effort demonstrates the power of interdisciplinary research in advancing our understanding of complex molecular systems.

This achievement has significant implications for future studies on cyclocarbons and their potential applications in various fields. The researchers’ innovative approach to synthesizing stable cyclocarbons at room temperature opens up new possibilities for exploring the properties and reactivity of these intriguing molecules.

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Biochemistry

“Revolutionizing Medicine: A 100x Faster Path to Life-Saving Drugs with Metal Carbenes”

Using a clever combo of iron and radical chemistry, scientists have unlocked a safer, faster way to create carbenes molecular powerhouses key to modern medicine and materials. It s 100x more efficient than previous methods.

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Chemists have made a groundbreaking breakthrough in developing a novel method to generate highly useful chemical building blocks by harnessing metal carbenes. This achievement is expected to revolutionize the synthesis of life-saving drugs and materials development.

Typically used in chemical reactions essential for drug synthesis, carbenes are short-lived, highly reactive carbon atoms. However, creating these carbenes has been a challenging task due to limited methods and hazardous procedures.

Researchers at The Ohio State University have now developed an approach that makes producing metal carbenes much easier and safer. According to David Nagib, co-author of the study and distinguished professor in arts and sciences, “Our goal all along was to determine if we could come up with new methods of accessing carbenes that others hadn’t found before.”

The team’s innovative method uses iron as a metal catalyst and combines it with chlorine-based molecules that easily generate free radicals. This combination works to form the carbene of their choice, including many that had never been made before.

These three-sided molecular fragments, known as cyclopropanes, are vital to the synthesis of medicines and agrichemicals due to their small size and unusual energy. The researchers’ work was inspired by looking for the best ways to create these shape, which is one of the most common found in medicines.

“Our lab is obsessed with trying to get the best methods for making cyclopropanes out there as soon as possible,” said Nagib. “We have the eye on the prize of inventing better tools to make better medicines, and along the way, we’ve solved a huge problem in the carbene world.”

The study was recently published in Science, and the team’s discovery is expected to become extremely impactful. By accessing a new way of creating and classifying carbenes, scientists can simplify and improve the current wasteful, multistep process of producing them.

For consumers, this method suggests that future drugs developed by this technology may be cheaper, more potent, faster-acting, and longer-lasting. The work could prevent shortages of important medicines like antibiotics and antidepressants, as well as drugs that treat heart disease, COVID, and HIV infections, said Nagib.

Additionally, the team would like to ensure that their transformational organic chemistry tool is accessible to both big and small research labs and drug manufacturers around the world. One way to guarantee this is by continuing to improve the current technique, said Nagib.

“Our team at Ohio State came together in the coolest, most collaborative way to develop this tool,” he said. “So we’re going to continue racing to show how many different types of catalysts it could work on and make all kinds of challenging and valuable molecules.”

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