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General Physics Apr 20, 2026

How maze-like magnetic patterns form and evolve in materials

The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion efficiency of electric motors. In electric motors, iron loss or magnetic hysteresis loss is a primary ...

Quantum Physics Apr 18, 2026

Universal quantum protocol extracts maximum work without knowing a system's state in advance

A new study published in Nature Communications has shown that in the asymptotic limit, extracting the maximum possible work from many copies of a quantum system does not require knowing exactly what state that system is in.

Analytical Chemistry Apr 14, 2026

Ph.D. student solves persistent problem in high-entropy alloys

The University of Wyoming's Lauren Kim has solved a persistent problem in the cutting-edge field of high-entropy alloys, a class of materials with great potential in modern engineering, electronics and energy applications—such ...

Analytical Chemistry Mar 28, 2026

AI-driven framework uncovers new carbon structures—one thought to be harder than diamond

Through new improvements to existing AI models, researchers in China have created a framework that can methodically identify useful new forms of solid carbon. With their approach, Zhibin Gao and colleagues at Xi'an Jiaotong ...

Cell & Microbiology Mar 22, 2026

Measuring irreversibility in gene transcription

Living cells are fundamentally nonequilibrium systems, meaning they constantly spend energy through seemingly one-way, irreversible processes, such as transcribing DNA into RNA, to keep life going. But how that irreversibility ...

Quantum Physics Mar 20, 2026

New controls can stretch, blur and even reverse quantum time flow

In new research published in Physical Review X, scientists have designed quantum control protocols that generate processes more consistent with time flowing backward than forward. The protocols—techniques to control quantum ...

General Physics Mar 3, 2026

Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a University of Michigan Engineering and Université Paris-Saclay study published in Nature Communications. ...

General Physics Mar 1, 2026

Simulations show a path to 'ideal glass' with crystal-like entropy

The types of glass that we encounter in everyday life, such as window glass or smartphone screens, are disordered solids. This means that they consist of particles locked in place, like those in solids, but arranged randomly, ...

Condensed Matter Feb 27, 2026

Cooling without gases: Molecular design brings solid-state cooling closer to reality

Some solid materials can cool down or heat up when pressure is applied or released. This behavior enables cooling and heating technologies that do not rely on climate-damaging refrigerant gases. In practice, however, a major ...

Mathematics Feb 27, 2026

Putting sports stats to the test: Unpredictable play helps pick a winner in soccer

A comprehensive game plan and strategic tactics are critical to winning soccer, but how much does a team's unpredictability in moving the soccer ball around the pitch matter? In a new article published in PLOS One, an international ...

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