09-01What Can ABACUS Do Too? | A Unified Heterogeneous Implementation of Numerical Atomic Orbitals-Based Real-Time TDDFT within the ABACUS Package
09-01What Can Uni-Mol Do Too? | A Quantitative Electrostatic Potential Descriptor Enables Deep Learning-Accelerated Discovery of High-Performance Lithium-Ion Battery Electrolytes
08-2310 Million Atoms on a Single GPU, 2.048 Billion Atoms on a Thousand GPUs | DPA4C Debuts: The World's Fastest General Machine Learning Potential
07-28What Can DP Do too? | Microstructure and Thermophysical Properties of LiF-NaF-KF-ThF₄ Molten Salts: A Deep Potential Molecular Dynamics Study on Composition-Temperature Dependence
07-15What Can DP Do too? | Deep Learning Modeling of Oxygen Redistribution and Thermal Transport in Silicon on Insulator and Buried Oxide Layers
06-22Open-Source Cloud-Native Alloy Property Calculation Workflow APEX V1.3.0 Released | Toward an Agent-Ready Materials Science Infrastructure
06-17What Can DP Do too? | Machine Learning Interatomic Potential for Mg-Al-Si-O System Boosts Deep Earth Material Research
05-29What Can DP Do too? | Large Atomic Model DPA2 Enables Cross-Scale Simulations of Complex Nuclear Alloys
05-22DPA4 Tops Matbench Discovery: A Single RTX 5090 Delivers SOTA-Level Large Atomic Models in One Day
05-20What Can DP Do Too? | Deep Potential Reveals Cerium Segregation and Strengthening Mechanisms in Nanocrystalline Al-Ce Alloys