Peer Reviewed

- Prof. Kim Bong-hoon’s team implements a smart fabric-based sensor that can collect sweat automatically and analyze multiple biosignals simultaneously. - It measures electrolytes, metabolites, and movement all at once using minute amounts of sweat: Customized healthcare is expected. - The paper was selected as a cover article in “Small Structures,” a prestigious international journal in the field of nanotechnology and materials science.

- Implements a mathematical model by applying open innovation dynamics to AI learning mechanisms - Expected to resolve structural issues of general AI, such as excessive energy consumption and privacy concerns

- Prof. Jong-Soo Lee’s team realizes a “hybrid photosensor” combining quantum dots and two-dimensional semiconductors - Proposes a low-cost, large-area platform to replace expensive conventional sensors; successfully fabricates a 32×32 pixel image sensor array - Published in the world-leading materials science journal Advanced Materials

An Ehime University research group has discovered that antiaromatic molecules, typically unstable, can form stable dimers through π-stacking. The homoHPHAC cation, despite its positive charge, adopts a slightly offset stacked structure. This interaction induces electronic reorganization, partially attenuating antiaromaticity. The findings reveal a new mode of molecular assembly for antiaromatic molecules and provide insights for designing functional π-conjugated materials.

Researchers uncovered that an orthogonal molecular architecture directs the formation of a rare double-cable structure, offering a new blueprint for advancing the fundamental design of energy-active materials. By guiding charges to move along separate pathways, the new design minimizes energy loss and boosts clean energy generation.

Simultaneous greenhouse gas capture and electricity generation marks a paradigm shift from energy-consuming to energy-producing systems

This study uses an IO-MFA model to reveal that recycled polyester is currently concentrated in low-value industries, identifying high-value invisible pathways in indirect supply chains to foster strategic industrial matchmaking. It provides a data-driven framework for policymakers to design "pull" mechanisms, such as mandatory recycled content, to redirect materials toward higher-margin economic streams.

Researchers have created a new database that employs AI to filter jargon and eliminate the need for users to have specialist programming skills. Called StableOx-Cat, the database identifies stable metal oxide electrocatalysts, making it easier to discover better materials for clean energy technologies.

Researchers including Kavli IPMU's Tadayuki Takahashi have achieved the world's first direct observation of muonic molecules in resonance states using a high-resolution x-ray detector.

New research reveals unexpected intruders in a classic tropical tree–ant relationship, raising concerns for forest recovery in human‑altered landscapes.

What if AI could discover breakthrough materials before we even test them? A new physics-informed AI model makes discovery faster and more reliable. This approach could reshape the future of electronics.

A new study published in Nature addresses long-standing technical barriers that have hindered the commercialization of metalenses

Researchers from National Taiwan University break traditional frameworks by unveiling a new symmetry-transition mechanism in ZrO2 thin films, achieving ultra-stable antiferroelectric behavior for up to one hundred million cycles.

A once-theoretical structure is now shaping the future of computing. Researchers have uncovered key properties of magnetic skyrmions, ultra-stable, 2 nm vortex-like structures that could enable next-gen memory with extremely low power consumption. Even more surprising? They can form in materials once thought impossible.

Seismicity decreases with depth, though it turns to increase in the mantle transition zone. It has been believed that pressure-induced phase transitions of olivine are the cause of high seismicity in the mantle transition zone. We experimentally showed that a diffusionless phase transition of olivine to poirierite triggers faulting. Our findings provide a natural explanation for the cause of high seismicity in the strongly deformed areas of ‘cold’ deep subducted slabs.

Researchers have succeeded in improving mobility efficiency by having the snake-like robot move using an “undulating motion” on uneven terrain and a “rolling motion” on level ground.

Researchers are investigating how 3D printers could achieve unprecedented levels of precision when creating batteries, opening the door for new innovations.

Researchers in Japan have developed a new LED structure that generates circularly polarized light from a single chip. The advance could support smaller and more energy-efficient optical devices for AR/VR, 3D displays, quantum communication, and optical security. By combining a semipolar InGaN light-emitting structure with a stripe-shaped silicon nitride metasurface, the team created a compact light source that reduces energy-conversion loss and operates at room temperature. This advancement could help bring ultra-compact, durable light sources closer to practical use in AR/VR, 3D displays, quantum communication, and optical security.

A team of researchers have shown torsion-balance experiments — precision instruments originally built to test the equivalence principle — could double as detectors for very light dark matter.

A mysterious layer of particles that occupies the lower regions of Venus’s atmosphere has long puzzled astronomers. However, a research team has finally solved the mystery of the “lower haze,” discovering that the haze comes from cosmic dust left by shooting stars that constantly rain down on Venus.

Researchers from The University of Osaka have shown that the MIC11 gene of Toxoplasma gondii is essential for the parasite to egress, or exit, the host cell, a key part of the lifecycle. Deletion of MIC11 caused parasites to be unable to permeabilize host cell membranes and prevented egress. This study identifies potential new therapeutic targets for human diseases caused by parasites, such as toxoplasmosis and malaria, which represent a major global health problem.

Carbohydrates affect weight gain and metabolic energy

A team led by Professor Julia Beatty, Chair Professor of Veterinary Medicine and Infectious Diseases at Jockey Club College of Veterinary Medicine and Life Sciences of CityUHK, recently published a review in the prestigious journal Nature Reviews Cancer, exploring how feline tumour viruses offer vital insights into human oncology and viral carcinogenesis from a comparative oncology perspective.

This deep dive explains the ins and outs of a catalyst called graphitic carbon nitride that speeds up the production of hydrogen peroxide – a highly useful oxidizing agent used widely in both industrial and household settings.

Light enhances adhesion between epidermal and inner tissues in plant stems

Quasi-experimental study finds multimodal travel increases daily walking

Researchers from National Taiwan University and Chulalongkorn University developed a copper-based catalyst system that improves low-temperature methanol synthesis from carbon dioxide hydrogenation by balancing two key steps in the reaction.

Elastic wave velocity measurements on a lunar orthopyroxene aggregate suggest the lunar upper mantle is more enriched in iron than previous estimates.

As climate change intensifies harmful algal blooms worldwide, an international team led by Hiroshima University has developed a hybrid modeling approach that combines algal movement simulations, AI, and long-term monitoring data to sharpen forecasts of these bloom events—linked to environmental damage, mass fish die-offs, economic losses, and risks to human health.

When you build a structure, the materials matter. The poorer the materials, the less reliable  the structure. Databases are no different, and with the rise of AI-driven discovery, the importance of feeding highly reliable data has gained added salience. A new study has examined the database architecture being used in materials science to see how it impacts the reliability and vitality of research results.