15 citations · 16 across the 4 of their papers we have counts for
5 papers
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…
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling
Xixian Liu, Rui Jiao, Zhiyuan Liu +6
Coordinate denoising has emerged as a promising method for 3D molecular pretraining due to its theoretical connection to learning molecular force field. However, existing denoising…
Siamese Foundation Models for Crystal Structure Prediction
Liming Wu, Wenbing Huang, Rui Jiao +8
Predicting crystal structures from chemical compositions is a fundamental challenge in materials discovery, complicated by complex 3D geometries that distinguish it from fields lik…
Powder Diffraction Crystal Structure Determination Using Generative Models
Qi Li, Rui Jiao, Liming Wu +6
Accurate crystal structure determination is critical across all scientific disciplines involving crystalline materials. However, solving and refining inorganic crystal structures f…
Space Group Constrained Crystal Generation
Rui Jiao, Wenbing Huang, Yu Liu +2
Crystals are the foundation of numerous scientific and industrial applications. While various learning-based approaches have been proposed for crystal generation, existing methods…