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Journal of Chemical Information and Modeling|August 7, 2023
FFMDFPA: A FAIRification Framework for Materials Data with No-Code Flexible Semi-Structured Parser and Application Programming InterfacesBing He, Zhuming Gong, Maxim Avdeev, et al.The Journal of Physical Chemistry. A|July 28, 2022
Software for Evaluating Long-Range Electrostatic Interactions Based on the Ewald Summation and Its Application to Electrochemical Energy Storage MaterialsWei Shi, Bing He, Bowei Pu, et al.National Science Review|April 27, 2026
Towards a sustainable high-quality materials data ecosystem: frameworks and strategiesBing He, Kaixuan Wang, Zhou Jiang, et al.Science Bulletin|January 19, 2023
Machine learning prediction of activation energy in cubic Li-argyrodites with hierarchically encoding crystal structure-based (HECS) descriptorsQian Zhao, Maxim Avdeev, Liquan Chen, et al.Science Bulletin|June 2, 2023
Auto-MatRegressor: liberating machine learning alchemistsYue Liu, Shuangyan Wang, Zhengwei Yang, et al.National Science Review|June 16, 2023
Data quantity governance for machine learning in materials scienceYue Liu, Zhengwei Yang, Xinxin Zou, et al.Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials|September 25, 2024
Search for missing symmetry in the Inorganic Crystal Structure Database (ICSD)Maxim AvdeevNational Science Review|March 6, 2023
A customized strategy to design intercalation-type Li-free cathodes for all-solid-state batteriesDa Wang, Jia Yu, Xiaobin Yin, et al.Scientific Data|May 24, 2020
CAVD, towards better characterization of void space for ionic transport analysisBing He, Anjiang Ye, Shuting Chi, et al.Scientific Data|May 23, 2020
High-throughput screening platform for solid electrolytes combining hierarchical ion-transport prediction algorithmsBing He, Shuting Chi, Anjiang Ye, et al.Pageof 141