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Author

Yongqiang Cheng

2 papers indexed here

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Review Sep 2026

Machine learning magnetic interactions from neutron powder diffraction data

This work investigates the effectiveness of a machine learning approach to predict the interaction parameters given magnetic diffuse-scattering data measured on powder samples, for a comprehensive survey of isotropic interactions on eight high-symmetry lattices.

Aditya Desai, Yong-Qiang Cheng, J. Paddison · 1 citation · ⚡1
Open access Jul 2025

Enhancing materials discovery with valence-constrained design in generative modeling

CrysVCD is a modular framework that integrates chemical rules directly into the generative process, enabling orders-of-magnitude more efficient chemical valence checking compared with pure data-driven approaches with post-screening.

Mou-Yang Cheng, Wei-Liang Luo, Hao Tang et al. · 8 citations

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