Preprint
Nov 2026
PaddleMaterials: An End-to-End Deep Learning Toolkit for Materials Science
Machine learning supports materials design, atomistic simulation and experimental characterization, yet models and workflows remain fragmented. We present PaddleMaterials, an open-source framework integrating heterogeneous materials-learning tasks while preserving task-specific representations and scientific semantics....
Xu-Wei Liu, Zhi-Min Zhang, Xiao-Guang Hu et al.
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