Author

Hong Wang

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Preprint Sep 2026

A benchmark dataset and baseline methods for four-dimensional STEM diffraction patterns

Four-dimensional scanning transmission electron microscopy (4D-STEM) records a two-dimensional diffraction pattern at each electron-probe position, yielding spatially resolved reciprocal-space information but large, heterogeneous data volumes. Here we describe 4D-ImageNet, a collection of 174,000 diffraction patterns c...

Yu-Yan Guan, Hao-Ran Zhang, Zian Mao et al. · 0 citations

#machine learning Preprint Oct 2026

Origins of Universal Machine Learning Force-Field Errors in Multicomponent Materials

Universal machine learning force-field generalization to multicomponent environments generated by compositional design remains insufficiently assessed. We construct a benchmark of 7,599 multicomponent configurations inspired by high-entropy design, elemental substitution and anion mixing. Eleven pretrained models are e...

Hong-Wei Du, Ding-Yang Lv, Bao-Le Wei et al. · 0 citations

Preprint Aug 2026

A Hierarchical Synergistic Deep Learning Framework Integrating Composition, Structure, and Ionic Transport for Solid-State Electrolyte Discovery

A hierarchical synergistic deep-learning framework that sequentially coordinates efficiency, accuracy, and reliability through four complementary modules that outperforms mainstream counterparts in its task, while retrospective validation establishes dual closed-loop verification of module-level accuracy and end-to-end...

Hong-Wei Du, Ding-Yang Lv, Bao-Le Wei et al. · 0 citations