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A more realistic picture of platinum electrodes

Current electrochemical theory does not adequately describe realistic platinum electrodes. Scientists at Leiden University have now, for the first time, mapped the influence of imperfect platinum surfaces. This provides a more accurate picture of these electrodes, with applications in hydrogen production and sensors.

Platinum electrodes play a crucial role in electrochemical applications. They are used in sensors, catalysis and fuel cells, for example in the production of green hydrogen. These developments call for a better and more realistic understanding of the underlying fundamental electrochemistry. Current theory falls short.

The surface of a platinum electrode appears smooth. But if you zoom in to the atomic level, you see an irregular landscape with so-called defects. These turn out to influence the electrochemical reactions that take place there. Ph.D. candidates Nicci Lauren Fröhlich and Jinwen Liu investigated this influence under the supervision of Professor Marc Koper and Assistant Professor Katharina Doblhoff-Dier at the Leiden Institute of Chemistry. Their results are published in Nature Chemistry.

New AI system fixes 3D printing defects in real time

Additive manufacturing has revolutionized manufacturing by enabling customized, cost-effective products with minimal waste. However, with the majority of 3D printers operating on open-loop systems, they are notoriously prone to failure. Minor changes, like adjustments to nozzle size or print speed, can lead to print errors that mechanically weaken the part under production.

Traditionally, manufacturers fix these issues on a case-by-case basis, ultimately “babysitting” the printer to manually adjust parameters and test samples in an effort to figure out what went wrong.

Brain microenvironment redefines metastatic tumor subtypes, facilitating precision oncology treatment

An interdisciplinary multi-center research team led by the LKS Faculty of Medicine (HKUMed) and Faculty of Dentistry at the University of Hong Kong has constructed the world’s largest multi-omics atlas of brain metastases. This comprehensive analysis included 1,032 brain metastasis samples from diverse primary tumors, together with 82 matched primary tumors and 20 glioblastomas (a highly malignant type of brain tumor) as controls.

The findings provide a novel framework for classifying brain metastases and establish a foundation for the development of personalized treatment strategies, advancing the field of precision oncology. This research was published in the journal Nature Communications.

Lab-grown algae remove microplastics from water

A University of Missouri researcher is pioneering an innovative solution to remove tiny bits of plastic pollution from our water. Mizzou’s Susie Dai recently applied a revolutionary strain of algae toward capturing and removing harmful microplastics from polluted water. Driven by a mission to improve the world for both wildlife and humans, Dai also aims to repurpose the collected microplastics into safe, bioplastic products such as composite plastic films.

“Microplastics are pollutants found almost everywhere in the environment, such as in ponds, lakes, rivers, wastewater and the fish that we consume,” Dai, a professor in the College of Engineering and principal investigator at the Bond Life Sciences Center, said. “Currently, most wastewater treatment plants can only remove large particles of plastic, but microplastics are so small that they slip through and end up in drinking water, polluting the environment and harming ecosystems.”

The findings are published in the journal Nature Communications.

Earth’s largest volcanic event reshaped an oceanic plate, seismic wave analysis reveals

A research group has revealed through seismic wave analysis that the oceanic plate beneath the Ontong Java Plateau—the world’s largest oceanic plateau—was extensively altered by massive volcanic activity during its formation. The study is published in Geophysical Research Letters.

The oceanic plate beneath the Ontong Java Plateau (OJP) has a composite structure consisting of layered structures overlaid by dike swarms. Low seismic velocity anomalies within the plate suggest chemical modification by magma derived from a thermochemical plume. These findings demonstrate that oceanic plates can undergo significant physicochemical modification due to large-scale volcanic activity, contributing to a comprehensive understanding of plate formation processes.

The research was led by Lecturer Azusa Shito of Okayama University of Science, together with Associate Professor Akira Ishikawa of the Institute of Science Tokyo and Professor Masako Yoshikawa of Hiroshima University.

AI streamlines deluge of data from particle collisions

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by particle detectors at modern accelerators. The new custom-built algorithm uses a neural network to intelligently compress collision data, adapting automatically to the density or “sparsity” of the signals it receives.

As described in a paper just published in the journal Patterns, the scientists used simulated data from sPHENIX, a particle detector at Brookhaven Lab’s Relativistic Heavy Ion Collider (RHIC), to demonstrate the algorithm’s potential to handle trillions of bits of detector data per second while preserving the fine details physicists need to explore the building blocks of matter.

The algorithm will help physicists gear up for a new era of streaming data acquisition, where every collision is recorded without pre-selecting which ones might be of interest. This will vastly expand the potential for more accurate measurements and unanticipated discoveries.

Using complex networks to tame combustion instability

Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: combustion instability. These unwanted pressure fluctuations create vibrations so intense that they can cause fatal structural damage to combustor walls, posing a serious threat in many applications. Combustion instability occurs when acoustic waves, heat release, and flow patterns interact in a strong feedback loop, amplifying each other until the entire system becomes unstable.

The complex interaction has made it difficult to predict when and where dangerous oscillations will emerge. This challenge has motivated researchers to seek new analytical frameworks that can capture the key driving regions of combustion instability.

Now, a research team led by Professors Hiroshi Gotoda from Tokyo University of Science and Ryoichi Kurose from Kyoto University, Japan, has developed an innovative approach using network science to understand and suppress combustion instability. Their paper, published in the journal Physical Review Applied on July 1, 2025, applies complex network analysis to spray combustion instability in a backward-facing step combustor.

A clearer look at critical materials, thanks to refrigerator magnets

With an advanced technology known as angle-resolved photoemission spectroscopy (ARPES), scientists are able to map out a material’s electron energy-momentum relationship, which encodes the material’s electrical, optical, magnetic and thermal properties like an electronic DNA. But the technology has its limitations; it doesn’t work well under a magnetic field. This is a major drawback for scientists who want to study materials that are deployed under or even actuated by magnetic fields.

Inspired by refrigerator magnets, a team of Yale researchers may have found a solution. Their study was featured recently on the cover of The Journal of Physical Chemistry Letters.

Quantum materials —such as unconventional superconductors or topological materials—are considered critical to advancing quantum computing, high-efficiency electronics, nuclear fusion, and other fields. But many of them need to be used in the presence of a magnetic field, or even only become activated by magnetic fields. Being able to directly study the electronic structure of these materials in magnetic fields would be a huge help in better understanding how they work.

Natural magnetic materials can control light in unprecedented ways

Imagine shining a flashlight into a material and watching the light bend backward—or in an entirely unexpected direction—as if defying the law of physics. This phenomenon, known as negative refraction, could transform imaging, telecommunications, and countless other technologies. Now, a team of scientists has managed to use a natural magnetic material called CrSBr to achieve negative refraction—without the need for complicated artificial structures. The study, published in Nature Nanotechnology, opens the door to ultra-compact lenses, super-high-resolution microscopes, and reconfigurable optical devices that can be controlled with magnets.

The researchers used a very thin layer of CrSBr, a material that has a unique magnetic structure—its magnetic atoms align in different ways within and between layers. This magnetic order changes how the material interacts with light. When the magnetic order is active, it causes light to bend “the wrong way,” creating negative refraction.

By guiding light into this material on a tiny chip, the team visually confirmed the backward bending of light. They also built a miniature “hyperlens” —a device that can focus light into extremely small spots—an essential step for future high-precision imaging and data processing.

Focusing and defocusing light without a lens: First demonstration of the structured Montgomery effect in free space

Applied physicists in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have demonstrated a new way to structure light in custom, repeatable, three-dimensional patterns, all without the use of traditional optical elements like lenses and mirrors. Their breakthrough provides experimental evidence of a peculiar natural phenomenon that had been confined mostly to theory.

Researchers from the lab of Federico Capasso, the Robert L. Wallace Professor of Applied Physics and Vinton Hayes Senior Research Fellow in Electrical Engineering, report in Optica the first experimental demonstration of the little-known Montgomery effect, in which a coherent beam of light seemingly vanishes, then sharply refocuses itself over and over, in free space, at perfectly placed distances. This lensless, repeatable patterning of light could lay the groundwork for powerful new tools in many areas including microscopy, sensing, and quantum computing.

This effect had been predicted mathematically in the 1960s but never observed under controlled lab conditions. The new work underscores not only that the effect is real, but that it can be precisely engineered and tuned.

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