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Climate whiplash by 2064: Study projects extreme swings in rainfall and drought for Asia

A climate study led by The Hong Kong University of Science and Technology (HKUST), in collaboration with an international research team, reveals that under a high-emission scenario, the Northern Hemisphere summer monsoons region will undergo extreme weather events starting in 2064. Asia and broader tropical regions will face frequent “subseasonal whiplash” events, characterized by extreme downpours and dry spells alternating every 30 to 90 days which trigger climate disruptions with catastrophic impacts on food production, water management, and clean energy systems.

Published in Science Advances under the title “Increased Global Subseasonal Whiplash by Future BSISO Behavior,” the research was co-led by Prof. Lu Mengqian, Director of the Otto Poon Center for Climate Resilience and Sustainability and Associate Professor of the Department of Civil and Environmental at HKUST and Dr. Cheng Tat-Fan, a postdoctoral fellow in the Department of Civil and Environmental Engineering at HKUST, alongside collaborators from the University of Hawaiʻi at Mānoa, Sun Yat-Sen University and Nanjing University of Information Science and Technology.

Integrative quantum chemistry method unlocks secrets of advanced materials

A new computational approach developed at the University of Chicago promises to shed light on some of the world’s most puzzling materials—from high-temperature superconductors to solar cell semiconductors—by uniting two long-divided scientific perspectives.

“For decades, chemists and physicists have used very different lenses to look at materials. What we’ve done now is create a rigorous way to bring those perspectives together,” said senior author Laura Gagliardi, Richard and Kathy Leventhal Professor in the Department of Chemistry and the Pritzker School of Molecular Engineering. “This gives us a new toolkit to understand and eventually design materials with extraordinary properties.”

When it comes to solids, physicists usually think in terms of broad, repeating band structures, while chemists focus on the local behavior of electrons in specific molecules or fragments. But many important materials—such as organic semiconductors, metal–organic frameworks, and strongly correlated oxides—don’t fit neatly into either picture. In these materials, electrons are often thought of as hopping between repeating fragments rather than being distributed across the material.

2.8 days to disaster: Why we are running out of time in low earth orbit

A “House of Cards” is a wonderful English phrase that it seems is now primarily associated with a Netflix political drama. However, its original meaning is of a system that is fundamentally unstable. It’s also the term Sarah Thiele, originally a Ph.D. student at the University of British Columbia, and now at Princeton, and her co-authors used to describe our current satellite mega-constellation system in a new paper available in pre-print on arXiv.

They have plenty of justification for using that term. Calculations show that, across all low-Earth orbit mega-constellations, a “close approach,” defined as two satellites passing by each at less than 1km separation, occurs every 22 seconds. For Starlink alone, that number is once every 11 minutes. Another known metric of Starlink is that, on average, each of the thousands of satellites have to perform 41 maneuvers per year to avoid running into other objects in their orbit.

That might sound like an efficiently engineered system operating the way it should, but as any engineer will tell you, “edge cases”—the things that don’t happen in a typical environment, are the cause of most system failures. According to the paper, solar storms are one potential edge case for satellite mega-constellations. Typically, solar storms affect satellite operation in two ways.

Scientists create stable, switchable vortex knots inside liquid crystals

The knots in your shoelaces are familiar, but can you imagine knots made from light, water, or from the structured fluids that make LCD screens shine?

They exist, and in a new Nature Physics study, researchers created particle-like so-called “vortex knots” inside chiral nematic liquid crystals, a twisted fluid similar to those used in LCD screens. For the first time, these knots are stable and could be reversibly switched between different knotted forms, using electric pulses to fuse and split them.

“These particle-like topological objects in liquid crystals share the same kind of topology found in theoretical models of glueballs, experimentally-elusive theoretical subatomic particles in high-energy physics, in hopfions and heliknotons studied in light, magnetic materials, and in vortex knots found across many other systems,” explains Ivan Smalyukh, director of the Hiroshima University WPI-SKCM² Satellite at the University of Colorado Boulder and a professor in CU Boulder’s Department of Physics.

Room-temperature electron behavior defies expectations, hinting at ultra-efficient electronics

Scientists have discovered a way to efficiently transfer electrical current through specific materials at room temperature, a finding that could revolutionize superconductivity and reshape energy preservation and generation.

The paper is published in the journal Physical Review Letters.

The much-sought-after breakthrough hinges on applying high pressure to certain materials, forcing their electrons closer together and unlocking extraordinary electronic behaviors.

Engineered material uses light to destroy PFAS and other contaminants in water

Materials scientists at Rice University and collaborators have developed a material that uses light to break down a range of pollutants in water, including per- and polyfluoroalkyl substances, or PFAS, the “forever chemicals” that have garnered attention for their pervasiveness.

When neural spikes break time’s symmetry: Linking the information-theoretic cost of brain activity to behavior

What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new study has introduced a method that does exactly this—not just by looking at fine-grained neuronal spiking activity, but by characterizing its collective dynamics using principles from thermodynamics.

A team from Kyoto University and Hokkaido University developed a new statistical framework capable of tracing directional, nonequilibrium neural dynamics directly from large-scale spike recordings, enabling them to show how neurons dissipate entropy as they compute. Their findings reveal how neurons dynamically reshape their interactions during behavior and how the brain’s internal “temporal asymmetry” shifts during task engagement, shedding light on how efficient computation arises. The work is published in Nature Communications.

AI helps explain how covert attention works and uncovers new neuron types

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a behavior known as covert attention. We do it all the time, but little is known about its neurophysiological foundation.

Now, using convolutional neural networks (CNNs), UC Santa Barbara researchers Sudhanshu Srivastava, Miguel Eckstein and William Wang have uncovered the underpinnings of covert attention, and in the process, have found new, emergent neuron types, which they confirmed in real life using data from mouse brain studies.

“This is a clear case of AI advancing neuroscience, cognitive sciences and psychology,” said Srivastava, a former graduate student in the lab of Eckstein, now a postdoctoral researcher at UC San Diego.

Sub-millimeter-sized robots can sense, ‘think’ and act on their own

Robots small enough to travel autonomously through the human body to repair damaged sites may seem the stuff of science fiction dreams. But this vision of surgery on a microscale is a step closer to reality, with news that researchers from the University of Pennsylvania and the University of Michigan have built a robot smaller than a millimeter that has an onboard computer and sensors.

Scientists have been trying for decades to develop microscopic robots, not only for medical applications but also for environmental monitoring and manufacturing. However, they have faced formidable challenges. Existing microbots typically require large, external control systems, such as powerful magnets and lasers, and cannot make autonomous decisions in unfamiliar environments.

How 3D printing creates stronger vehicle parts by solving aluminum’s high-temperature weakness

Aluminum is prized for being lightweight and strong, but at high temperatures it loses strength. This has limited its use in engines, turbines, and other applications where parts must stay strong under high temperature conditions. Researchers at Nagoya University have developed a method that uses metal 3D printing to create a new aluminum alloy series optimized for high strength and heat resistance. All new alloys use low-cost, abundant elements, and are recycling-friendly, with one variant staying both strong and flexible at 300° C.

The study is published in Nature Communications.

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