1 citations · 1 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025
Equivariant Diffusion for Crystal Structure Prediction
Peijia Lin, Pin Chen, Rui Jiao +6
In addressing the challenge of Crystal Structure Prediction (CSP), symmetry-aware deep learning models, particularly diffusion models, have been extensively studied, which treat CS…
cond-mat.mtrl-sci2021★ 1 cited
Leveraging Large-scale Computational Database and Deep Learning for Accurate Prediction of Material Properties
Pin Chen, Jianwen Chen, Hui Yan +6
Accurately predicting the physical and chemical properties of materials remains one of the most challenging tasks in material design, and one effective strategy is to construct a r…