1 citations · 1 across the 1 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026★ 1 cited
Scalable Dielectric Tensor Predictions for Inorganic Materials using Equivariant Graph Neural Networks
Haowei Hua, Chen Liang, Ding Pan +4
Accurate prediction of dielectric tensors is essential for accelerating the discovery of next-generation inorganic dielectric materials. Existing machine learning approaches, such…
cs.CE2025
Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling
Haowei Hua, Wanyu Lin
Crystal structures are defined by the periodic arrangement of atoms in 3D space, inherently making them equivariant to SO(3) group. A fundamental requirement for crystal property p…
cs.CE2024
Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction
Haowei Hua, Jingwen Yang, Wanyu Lin +1
Predicting the tensor properties of crystalline materials is a fundamental task in materials science. Unlike scalar property prediction, which requires invariance, tensor property…