1 citations · 1 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
MatterSim-MT: A multi-task foundation model for in silico materials characterization
Han Yang, Xixian Liu, Chenxi Hu +25
Accurate property characterization is a major bottleneck in materials design. While first-principles methods and task-specific machine-learning models have driven important progres…
physics.chem-ph2025
Reconstructing Pristine Molecular Orbitals from Scanning Tunneling Microscopy Images via Artificial Intelligence Approaches
Yu Zhu, Renjie Xue, Hao Ren +7
Molecular orbital (MO) is one of the most fundamental concepts for molecules, relating to all branches of chemistry, while scanning tunneling microscopy (STM) has been widely recog…
physics.chem-ph2024★ 1 cited
Constructing accurate and efficient general-purpose atomistic machine learning model with transferable accuracy for quantum chemistry
Yicheng Chen, Wenjie Yan, Zhanfeng Wang +2
Density Functional Theory (DFT) has been a cornerstone in computational science, providing powerful insights into structure-property relationships for molecules and materials throu…