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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…
cond-mat.mtrl-sci2026
KappaFormer: Physics-aware Transformer for lattice thermal conductivity via cross-domain transfer learning
Mengfan Wu, Junfu Tan, Yu Zhu +1
Machine learning has been widely used for predicting material properties. However, efficient prediction of lattice thermal conductivity () remains a long-standing ch…