Researchers propose a groundbreaking theoretical concept—equivalent potential—that bridges quantum mechanics with fluid behavior under microwave irradiation and interfacial confinement. This unified framework explains how microwave fields and solid surfaces jointly reshape fluid molecular arrangements, leading to ordered or disordered cluster structures. The work provides a fundamental principle for designing external-field-enhanced chemical processes, from CO₂ capture to catalytic conversion, and opens a pathway toward rational regulation of fluid structures at the nanoscale.

Solid‑state hydrogen storage offers high density and safety, but material development is slow. A comprehensive review highlights how machine learning (ML) and big data are accelerating discovery. The Digital Hydrogen‑S platform integrates over 3000 materials and 254,000 structured records, including multimodal data (PCT curves, kinetic data, synthesis metadata). Analysis shows that nearly no alloy meets US DOE targets for capacity, temperature, and pressure. ML models now predict storage capacity, formation enthalpy, and pressure‑composition‑temperature curves with high accuracy. Neural network potentials (NNPs) provide near‑first‑principles insight into hydrogen adsorption, dissociation, and diffusion. Future priorities include open‑access multimodal databases, inverse design, and generalized NNPs for complete absorption‑desorption cycles.

A stretchable, self-healing semiconductor has been developed using hierarchical hydrogen bonds—like mixing Velcro with a zipper. Unlike single-strength bonds, these multi-level bonds work together to balance rigidity and flexibility. It achieves 150% stretchability, 90% electrical healing, and record mobility of 1.01 cm² V⁻¹ s⁻¹ under 150% strain. This solves the trade-off between charge transport, stretchability, and healing ability, paving the way for future stretchable electronics.

Researchers from the group of Prof. Jia Shuang at Peking University and the group of Prof. Xu Gang at Huazhong University of Science and Technology have recently collaborated to investigate the heavy-fermion ferromagnet CeCrGe₃. They observed giant anomalous Hall and anomalous Nernst effects and revealed that these remarkable responses originate from Kondo-driven topological flat bands. The results were published under the title “Giant Anomalous Hall and Nernst Effects in a Heavy Fermion Ferromagnet” in Science Bulletin.

POSTECH and CNU demonstrate spintronic non-volatile switching with up to 66× lower energy consumption.

Our personal identity is composed of many dimensions, such as age, gender, ethnic background, or socioeconomic status. A research team led by Fariba Karimi from the Institute of Human-Centred Computing at Graz University of Technology (TU Graz) and Samuel Martin-Gutierrez from the Complexity Science Hub developed the statistical computational model “MAPS” to calculate the influence of these factors on our social relationships. The researchers have recently published a MAPS-based analysis of high school friendships and marriages in the US in the journal Communications Physics. The study shows that humans are extremely selective.