New membrane could make green hydrogen cheaper, tougher and easier to scale
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 13:17 ET (27-Oct-2026 17:17 GMT/UTC)
Researchers at Westlake University have developed a new anion exchange membrane for water electrolysis that combines long-term chemical stability with easier large-scale manufacturing. The material reduces reliance on corrosive superacids during synthesis and performs efficiently in both lab-scale devices and kilowatt-scale hydrogen-producing stacks.
Spectral imaging allows materials to be identified without contact, but compact systems often struggle to preserve enough information for accurate reconstruction. Researchers from Zhejiang Normal University, Zhejiang University, and Westlake University have introduced a geometry-driven spectral encoding strategy based on the Euclidean Distance of Encoding space (EDE). Instead of optimizing only the statistical properties of an encoding matrix, EDE directly maximizes the separation between encoded spectral responses in measurement space. The team combined genetic algorithms, automatic differentiation, and transfer-matrix modeling to design manufacturable TiO₂/SiO₂ multilayer thin-film encoders. The resulting system improves reconstruction performance over random, correlation-optimized, and coherence-optimized benchmarks, and enables high-fidelity spectral recovery across the visible to short-wave infrared range. The work establishes a new geometric design paradigm for compact, intelligent computational optical systems.
A recent study uncovers the most comprehensive explanation to date for the unprecedented Arctic ozone event of March 2024, revealing new insights into the complex connections between tropical variability, atmospheric wave dynamics and polar ozone in a warming world.
Organic light-emitting diodes (OLEDs) have become a standard in modern devices with incredible contrast and sleek designs. While initially an expensive luxury, OLEDs are gradually becoming more financially accessible as the technology improves. Now, researchers at the Institute of Transformative Bio-Molecules (WPI-ITbM) at Nagoya University and the Institute for Advanced Study at Kyushu University have combined quantum chemistry with machine learning to identify new materials for blue OLEDs to incorporate in next-generation ultra-high-definition displays. Their research was published in Angewandte Chemie International Edition on July 21, 2026.
New framework enables researchers to model how light and electrons interact in metals, semiconductors and two-dimensional materials, paving the way for faster development of advanced chips, optical technologies and quantum devices.
A physics- and spatially informed diffusion model was developed to achieve rapid Monte Carlo–consistent dose prediction for CyberKnife radiotherapy. The model integrates finite-size pencil beam dose distributions, planning CT images, and signed distance maps to incorporate physical, anatomical, and spatial prior information. PSIDMViT improved agreement with Monte Carlo reference doses across head-and-neck, lung, and liver cancer cases. The model reduced the time required for Monte Carlo–consistent dose estimation from approximately one hour to about 18 minutes, supporting more efficient high-precision radiotherapy planning and verification.
This study develops a novel “Hydrology–Environment–Ecology” framework that integrates aquatic ecological risk (AER) with landscape ecological risk (LER) across lake basin boundaries. Using Chaohu Lake—one of China's largest freshwater lakes—as a case study, the research reveals that both aquatic and terrestrial ecological risks increased significantly from 2000 to 2019, with habitat quality identified as the dominant driver of aquatic risk. The framework identifies an 8-km riparian buffer zone as the critical threshold for integrated conservation, and uncovers human activity as the dominant factor elevating landscape ecological risk through both direct and indirect pathways. The study provides a transferable paradigm for cross-scale lake ecosystem management.