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…
cs.LG2025★ 1 cited
Benchmarking GNNs for OOD Materials Property Prediction with Uncertainty Quantification
Liqin Tan, Pin Chen, Menghan Liu +3
We present MatUQ, a benchmark framework for evaluating graph neural networks (GNNs) on out-of-distribution (OOD) materials property prediction with uncertainty quantification (UQ).…