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Astrophysicists strike black gold with treasure trove of gravitational wave detections

Researchers from the University of Glasgow’s Institute for Gravitational Research are celebrating the publication of a vast new treasure trove of gravitational wave detections, hailed as a milestone marking the coming of age of gravitational astronomy.

The Gravitational Wave Transient Catalogue-5.0, or GWTC-5, is released online, with corresponding scientific papers submitted to Astrophysical Journal and Astrophysical Journal Letters.

This latest update details a total of 161 new signals from colliding black holes detected between April 2024 and the end of January 2025 by the gravitational wave detectors LIGO in the United States, Virgo in Italy, and KAGRA in Japan, known as the LVK collaboration. The publication brings the total number of gravitational wave signals detected to date to 390.

Researchers capture inception of hydrogen-uranium reaction for the first time

When hydrogen gas interacts with uranium metal, the combination creates a chemically reactive powder and a runaway reaction that is difficult to stop. The result can impact the safety and lifespan of technology critical for fusion energy, hydrogen storage and nuclear fuels.

In a recent study published in npj Materials Degradation, researchers from Lawrence Livermore National Laboratory (LLNL) observed and characterized the beginning stages of hydrogen-uranium corrosion for the first time. The result will lead to more predictive and physically grounded models for how uranium components degrade.

Imagine the hydrogen-uranium interaction like a geyser. Much like surface water seeping through cracks to make its way underground, hydrogen dissolves and diffuses into the uranium metal. This happens silently and invisibly until it becomes too much hydrogen for the uranium to hold. The two materials combine to form a new compound called uranium hydride, which takes up significantly more volume than the original uranium metal.

Single-step 8-9x expansion reveals nanoscale centrioles without electron microscopy

In a study published in ACS Nano, researchers from National Taiwan University report a new expansion microscopy strategy termed high-fold homogeneous expansion microscopy (hiHomoExM), capable of achieving approximately 8–9× isotropic expansion in a single expansion step while preserving delicate ultrastructural organization.

Expansion microscopy works by embedding biological samples within a swellable polymer hydrogel. Following chemical processing, the hydrogel expands uniformly in water, physically separating biomolecules and effectively increasing the spatial resolution achievable by conventional light microscopes.

“To achieve nanoscale imaging faithfully, both high expansion and homogeneous specimen preservation are essential,” explains the research team. “Nonuniform expansion can distort ultrastructural information and limit biological interpretation.”

Surface design transforms thermal management and enables frictionless systems

A research team led by Professor Steven Wang, Associate Vice President (Resources Planning) and Associate Professor in the Department of Mechanical Engineering and School of Energy and Environment, has designed a revolutionary capillary structure that can trigger the Leidenfrost effect, offering a practical solution for the temperature-regulated Leidenfrost effect without requiring complex surface engineering.

The study, titled “Capillary Leidenfrost Effect”, was recently published in the journal Nature Physics.

The Leidenfrost effect is a physical phenomenon discovered in 1756. It occurs when a liquid droplet touches a surface much hotter than its boiling point, forming a vapor layer that makes it levitate and hover, slowing down evaporation. A simple example is water on a very hot pan: the drops sizzle and disappear quickly, but once it reaches the Leidenfrost point, they bead up, skate and dance around on a steam barrier, and last much longer before evaporating. This effect is ubiquitous in a wide range of laboratory and industrial applications.

Imaginary-time technique speeds X-ray scattering simulations by 50-fold for extreme matter

Researchers at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) have developed a new procedure, enabling them to speed up elaborate computer simulations that analyze matter under extreme conditions. In particular, this work improves the evaluation of experiments at large-scale research facilities like the European XFEL—and should facilitate substantial progress, among others, in fusion research and laboratory astrophysics.

The team presented the results in the journal npj Computational Materials.

Sometimes, matter is present in extreme states—such as in stars or in the interior of gas giants where enormous pressures and temperatures prevail. Such conditions can also be produced in the lab, in laser fusion experiments, for instance. In order to understand precisely what happens, researchers use X-ray scattering—as at the European XFEL near Hamburg.

ATLAS observes new Bc meson excited state

Protons and neutrons—the building blocks of matter—belong to a huge class of particles called hadrons. Hadrons are composite particles made of quarks that are bound together by the strong force. They are classified into two groups: baryons, which consist of three quarks (like protons and neutrons), and mesons, which are formed by a quark–antiquark pair.

Despite decades of study, many aspects of the strong force remain poorly understood, particularly the way it binds quarks together inside hadrons. Mesons made of heavy quarks—such as charm or bottom quarks—can provide an important laboratory for testing theoretical descriptions of these effects. Of particular interest to physicists are Bc+ mesons, as they contain two types of heavy quarks: a charm quark and a bottom antiquark (b̅c).

In a new result presented at the Large Hadron Collider Physics 2026 conference, physicists from the ATLAS Collaboration report the first observation of a particle with properties consistent with the Bc*+ meson, the lowest excited Bc+ meson. The paper is available on the arXiv preprint server.

Collective vibrations unlock fast ion flow in superionic crystals

In the race to develop safer, faster-charging solid-state batteries and more efficient thermoelectric conversion technologies, engineers and scientists have long faced a fundamental challenge: how to ensure ions move through hard, solid materials as quickly as they do in liquids?

A team led by Prof. Zhou Yanguang, Associate Professor in the Department of Mechanical and Aerospace Engineering (MAE) at The Hong Kong University of Science and Technology (HKUST), discovered a novel mechanism for rapid ion transport in solids, opening new avenues for materials design.

The study shows that the ionic transport is governed by collective dynamics. The results were published in the journal Physical Review Letters, titled “Fast Ionic Transport Governed by Collective Vibrational Dynamics.”

Data-driven model captures dynamics of turbulence at scale

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of particles carried along in turbulence is subject to some similarities—all of them difficult to predict at scale. As described in a recent publication in the Proceedings of the National Academy of Sciences, a research team led by Los Alamos National Laboratory scientists has developed a first-of-its-kind machine learning framework that models chaotic particle motions in a turbulent flow.

“Modeling turbulence is a big, open problem, and it’s probably the hardest problem in classical physics,” said Daniel Livescu, Los Alamos scientist and one of the leaders of the work. “A subset of that challenge is modeling particle motions within turbulence. To meet that challenge, our artificial intelligence approach offers an innovative theoretical construct tested with a real-world application.”

The team has developed and applied the first data-driven, auto-regressive machine learning framework to capture the dynamics of turbulence at scale. The research demonstrates that machine learning can overcome longstanding barriers in modeling chaotic particle motions.

Why ‘football’ beats ‘shamrock’ when your brain is dismantling every word at lightning speed

Before you even know what a word means, your brain is already playing a rapid-fire game of linguistic LEGO. Discover how our minds secretly dissect words, piece by orthographic piece, in the blink of an eye.

Imagine catching a flash of the word football on a screen. Before you even register its meaning (“a game” or “a ball”), your brain may have already parsed it into “foot” + “ball.” A clever new experiment used red-and-blue anaglyph glasses and split-second word flashes to probe this. It found that real compound words (like football) are recognized much faster than lookalikes (like shamrock), suggesting our eyes and brain latch onto word form almost instantly.

In the lab, volunteers wore 3D-style red/blue glasses while words appeared for just 60 milliseconds under a mask. Each word was painted half red and half blue, splitting it either at a meaningful break or in the middle of a syllable. For example, “FOOT” might be blue and “BALL” red, or vice versa, sending “foot” to one hemisphere and “ball” to the other. Participants then quickly reported if what they saw was a real word or a made-up one.

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