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20212026
most citedCrystal Structure Prediction by Joint Equivariant Diffusion

26 citations · 62 across the 15 of their papers we have counts for

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6 papers · 1 filter

cond-mat.mtrl-sci2026

Generative crystallographic phasing through invariant relationships

Qi Li, Rui Jiao, Liming Wu +16

Crystal structure determination requires the phases of scattered waves -- yet diffraction measures only their intensities. Direct methods exploit phase invariants but become less r…

cond-mat.mtrl-sci2026

Experimental Powder X-ray Diffraction Crystal Structure Determination with RealPXRD-Solver

Qi Li, Mingyu Guo, Rui Jiao +14

Determining crystal structures from experimental powder X-ray diffraction data remains challenging because peak overlap, preferred orientation, and impurity phases obscure atomic a…

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-sci2025

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…

cond-mat.mtrl-sci2024★ 1 cited

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…

cond-mat.mtrl-sci2023★ 26 cited

Crystal Structure Prediction by Joint Equivariant Diffusion

Rui Jiao, Wenbing Huang, Peijia Lin +4

Crystal Structure Prediction (CSP) is crucial in various scientific disciplines. While CSP can be addressed by employing currently-prevailing generative models (e.g. diffusion mode…