7-Apr-2026 Light-driven method enables sustainable production of porous semiconducting polymers Koç University A new study reports a visible-light-driven method to synthesize porous semiconducting polymers under ambient conditions without metal catalysts, offering a more sustainable and efficient route with strong photocatalytic performance. Journal Nature Communications
7-Apr-2026 Machine-learning guides discovery of multi-principal element alloys as electrocatalyst for hydrogen evolution reaction HEP Data Cooperation Journals This study develops an ML-assisted approach for accelerating the discovery of HER electrocatalysts in multi-principal element alloys. With ultralow material costs and record-breaking electrocatalytic metrics, the NbZnCo2 alloy exhibits exceptional potential for industrial alkaline water electrolyzers. Journal Acta Physico-Chimica Sinica
7-Apr-2026 Machine learning potentials for property predictions of two-dimensional group-III nitrides HEP Data Cooperation Journals A high-precision machine learning potential based on the Deep Potential method was constructed to systematically investigate the lattice dynamics, thermodynamic properties, mechanical behaviors, and thermal transport of two-dimensional Group-III nitrides with first-principles accuracy. Journal Acta Physico-Chimica Sinica
7-Apr-2026 LASPAI: AI-powered platform for the future atomic simulation HEP Data Cooperation Journals A web-based platform integrating generalized global neural network potentials and diffusion generative models was developed to resolve the accuracy-efficiency dilemma and democratize access to complex atomic simulations. Journal Acta Physico-Chimica Sinica
7-Apr-2026 High-rate and long-cycling P2-type cathode material for sodium-ion batteries HEP Data Cooperation Journals A multi-element doping strategy was employed to design a stable P2-type cathode (P2-Na0.67Zn0.05Ni0.23Fe0.1Mn0.57Ti0.05O2) that suppresses high-voltage phase transition, demonstrating a capacity retention of over 85% after 300 cycles at a 3C rate. Journal Acta Physico-Chimica Sinica
7-Apr-2026 Data-driven framework unlocks fast track to high-performance MnO2 cathodes HEP Data Cooperation Journals This study develops a high-accuracy machine-learning framework to predict and optimize metal-doped MnO2 cathodes for aqueous zinc-ion batteries, validated through experiments and DFT, enabling rapid performance guidance. Journal Acta Physico-Chimica Sinica
7-Apr-2026 CADD and AI for the next-generation therapeutics HEP Data Cooperation Journals The deep integration of computer-aided drug discovery (CADD) and artificial intelligence (AI) is ushering in a new era of precision and efficiency in next-generation therapeutics by reshaping R&D paradigms, unlocking the potential of biological big data, and accelerating the development of innovative therapies. Journal Pharmaceutical Science Advances
6-Apr-2026 Unraveling the compatibility of ether-based solvents with Li-metal anodes under O2 atmosphere Science China Press Professor Jiang Chunhai (Xiamen University of Technology) and Professor Qiao Yu (Xiamen University) studied the compatibility of typical G2, G3, and G4 ether solvents with Li-metal anode under harsh O2 environment from the perspectives of Li/Li symmetric batteries and Li-O2 batteries. The experimental results indicate that G2 solvent helps enhance the cycling stability of Li/Li symmetric batteries, while G4 solvent is more conducive to promoting the reaction reversibility of Li-O2 batteries. Journal Science China Chemistry
6-Apr-2026 Recent progress in morphological control of zeolites from organic templates Science China Press One of the major topics in the field of zeolite synthesis is to control zeolite morphology with increased external surface areas, aiming to minimize mass transfer limitations and thus maximize access to micropores. Currently, it has been successfully synthesized zeolites with various morphologies. Herein, researchers briefly reviewed recent progress for morphological control of zeolite crystals from organic templates including typically industrial zeolites. Journal Science China Chemistry
