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AI-guided enzyme discovery enables 98.6% breakdown of polyurethane foam in hours

As the use of AI spreads through every industry and becomes more of a part of our lives every day, researchers are also looking into ways it can be used to solve some of the world’s biggest problems. One of these problems is the world’s reliance on plastics for making everything from clothing to medical supplies to food wrappers, which is creating a massive amount of non-biodegradable waste—with more and more piling on every day. Much of this ends up wreaking havoc on various ecosystems and creating an overabundance of microplastics that end up in our food and water supplies.

Clearly, there is a need for recycling these materials. However, plastics remain one of the most difficult materials to recycle efficiently. But now, a team of researchers might have found a way to facilitate the process with the help of AI. Their study, published in Science, details how a helped them find enzymes that can break down plastics faster and more efficiently than any they’ve found on their own.

Scientists create new bullet-proof fiber that is stronger and thinner than Kevlar

Kevlar has met its match. For decades, it has been the gold standard for impact protection, from bulletproof vests to armored vehicles, and is still widely used. But scientists have now developed a new composite material that is stronger, tougher and better at stopping bullets than Kevlar even though it is much thinner. Their study is published in the journal Matter.

To stop high-speed impacts, like a bullet, a material needs to resist breaking under force () and be able to absorb a lot of energy without shattering or failing (high toughness). However, there is a problem with current solutions, such as Kevlar, which is made from aramid fibers. When scientists try to make these fibers stronger, they often become more brittle, making it difficult to achieve both simultaneously. This is a common trade-off in materials science when you try to improve a material’s overall performance.

Neural implant smaller than a grain of salt can wirelessly track brain

Cornell University researchers and collaborators have developed a neural implant so small that it can rest on a grain of salt, yet it can wirelessly transmit brain activity data in a living animal for more than a year.

The breakthrough, detailed Nov. 3 in Nature Electronics, demonstrates that microelectronic systems can function at an unprecedentedly small scale, opening new possibilities for neural monitoring, bio-integrated sensing and other applications.

Development of the device, called a microscale optoelectronic tetherless electrode, or MOTE, was co-led by Alyosha Molnar, professor in the school of electrical and , and Sunwoo Lee, an assistant professor at Nanyang Technological University who first began working on the technology as a postdoctoral associate in Molnar’s lab.

Automated chloroplast screening platform speeds up crop trait development

Chloroplasts—the “light power plants” of plant cells—are increasingly the focus of synthetic biology. These organelles house the photosynthetic apparatus and host several metabolic pathways that are of great interest for engineering new traits. Gene insertion into chloroplasts is precise and carries a lower risk of transgene escape.

Despite this potential, chloroplast biotechnology remains in its infancy because standardized, scalable methods for rapid testing of diverse genetic parts have been missing. A research team from the Max Planck Institute for Terrestrial Microbiology in Marburg has now presented a micro‑algal platform that allows automated, fast, and large‑scale testing of chloroplast genetic modifications.

The study is published in the journal Nature Plants.

When speaking out feels risky: New study maps hidden dynamics of self-censorship

In an era when social media blurs the line between public and private speech, how do people decide whether to speak their minds or stay silent?

A new study from researchers at Arizona State University and the University of Michigan, published in the Proceedings of the National Academy of Sciences, offers a groundbreaking look at the strategic trade-offs individuals make when facing the threat of punishment for dissent.

The work, co-authored by Professor Stephanie Forrest and Assistant Professor Joshua J. Daymude in the School of Computing and Augmented Intelligence, part of the Ira A. Fulton Schools of Engineering at ASU, and Robert Axelrod from the University of Michigan, introduces a to explain when people choose to express dissent or self-censor.

We could use neutrino detectors as giant particle colliders

There is a limit to how big we can build particle colliders on Earth, whether that is because of limited space or limited economics. Since size is equivalent to energy output for particle colliders, that also means there’s a limit to how energetic we can make them. And again, since high energies are required to test theories that go beyond the standard model (BSM) of particle physics, that means we will be limited in our ability to validate those theories until we build a collider big enough.

But a team of scientists led by Yang Bai at the University of Wisconsin thinks they might have a better idea—use already existing neutrino detectors as a large scale particle collider that can reach energies way beyond what the LHC is capable of. The findings are published on the arXiv preprint server.

Neutrinos are notorious for very weakly interacting with things—there are trillions of them passing through you as you read this sentence. However, put enough matter in their way and eventually a special few will run directly into a proton or electron. The resulting particle spray, which is typically going faster than light in whatever medium the neutrino hits, creates a light known as Cherenkov radiation. But really what causes the Cherenkov radiation are the particles created by what is essentially a giant particle .

How silver iodide triggers ice formation at the atomic level

No one can control the weather, but certain clouds can be deliberately triggered to release rain or snow. The process, known as cloud seeding, typically involves dispersing small silver iodide particles from aircraft into clouds. These particles act as seeds on which water molecules accumulate, forming ice crystals that grow and eventually become heavy enough to fall to the ground as rain or snow.

Until now, the microscopic details of this process have remained unclear. Using and , researchers at TU Wien have investigated how interacts with water at the .

Their findings, published in Science Advances, reveal that silver iodide exposes two fundamentally different surfaces, but only one of them promotes . The discovery deepens our understanding of how clouds form rain and snow and may guide the design of improved materials for inducing precipitation.

First observation of single top quark production with W and Z bosons

The experiments at the Large Hadron Collider (LHC) detect rare events on a daily basis, but some are exceptionally rare, such as this latest result from the CMS collaboration. For the first time, the collaboration has observed the production of a single top quark along with a W and a Z boson, an extremely rare process that happens only once every trillion proton collisions. Finding this event in the LHC data is like searching for a needle in a haystack the size of an Olympic stadium.

The creation of a top , a W boson and a Z boson, known as tWZ production, opens up a new window for understanding the fundamental forces of nature. By closely studying tWZ production, physicists can investigate how the top quark interacts with the electroweak force, which is carried by the W and Z bosons.

In addition, the top quark is the heaviest known fundamental particle, meaning that it has the strongest interaction with the Higgs field, so, studying the tWZ process could give us a deeper understanding of the Higgs mechanism. It could also point us to signs of new phenomena and physics beyond the Standard Model.

CERN’s electrostatic trap ‘recycles’ anions to illuminate the heaviest elements

From the burning of wood to the action of medicines, the properties and behavior of matter are governed by the way chemical elements bond with one another. For many of the 118 known elements, the intricate electronic structures of the atoms that are responsible for chemical bonding are well understood. But for the superheavy elements lying at the far edge of the periodic table, measuring even a single property of these exotic species is a major challenge.

In a new paper published in Nature Communications, a team of researchers working at the ISOLDE facility at CERN report a novel technique that could help unlock the chemistry of (super)heavy elements and has potential applications in fundamental physics research and medical treatments.

Superheavy elements are highly unstable and can only be produced in accelerator laboratories in minute amounts. This is why researchers tend to first perfect their techniques on elements that are stable and lighter.

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