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Nanoscale|October 14, 2021
Designing Ru-doped Zn<sub>3</sub>V<sub>3</sub>O<sub>8</sub> bifunctional OER and HER catalysts through a unified computational and experimental approachXuyan Zhou, Xiaowei Tang, Haitao Xu, et al.
Nanoscale|June 19, 2023
Accurate and efficient machine learning models for predicting hydrogen evolution reaction catalysts based on structural and electronic feature engineering in alloysJingzi Zhang, Yuelin Wang, Xuyan Zhou, et al.
ACS Applied Materials & Interfaces|October 25, 2024
Enhancing Superconductor Critical Temperature Prediction: A Novel Machine Learning Approach Integrating Dopant RecognitionChengquan Zhong, Yuelin Wang, Yanwu Long, et al.
ACS Applied Materials & Interfaces|June 16, 2023
Deep Generative Model for Inverse Design of High-Temperature Superconductor Compositions with Predicted <i>T</i><sub>c</sub> > 77 KChengquan Zhong, Jingzi Zhang, Xiaoting Lu, et al.
Chemical Science|January 30, 2026
Constructing a dual-protection heterointerface for durable anion exchange membrane seawater electrolysis at ampere-level current densityYue Xu, Yingjian He, Shuaidong Li, et al.
Small (Weinheim an Der Bergstrasse, Germany)|January 29, 2022
Eight-Component Nanoporous High-Entropy Oxides with Low Ru Contents as High-Performance Bifunctional Catalysts in Zn-Air BatteriesZeyu Jin, Juan Lyu, Kailong Hu, et al.
Chemical Science|November 9, 2022
A fourteen-component high-entropy alloy@oxide bifunctional electrocatalyst with a record-low Δ<i>E</i> of 0.61 V for highly reversible Zn-air batteriesZeyu Jin, Xuyan Zhou, Yixuan Hu, et al.
ACS Applied Materials & Interfaces|March 31, 2026
Machine Learning-Guided Discovery of High-Performance Perovskite Solar Cells via Cluster Analysis and Experimental ValidationWajeeha Rahman, Chengquan Zhong, Jingzi Zhang, et al.
Angewandte Chemie (International Ed. in English)|August 26, 2018
Heavily Doped and Highly Conductive Hierarchical Nanoporous Graphene for Electrochemical Hydrogen ProductionLinghan Chen, Jiuhui Han, Yoshikazu Ito, et al.
ACS Applied Materials & Interfaces|March 20, 2025
Inverse Design of High-Performance Thermoelectric Materials via a Generative Model Combined with Experimental VerificationYanwu Long, Chengquan Zhong, Xiaojing Ma, et al.
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