Chengquan Zhong

Machine Learning Prediction of Superconducting Critical Temperature through the Structural Descriptor

Jingzi Zhang, Zhuoxuan Zhu, X.‐D. Xiang et al. · The Journal of Physical Chemistry C · 2022 · 54 citations

Natural Sciences, Chemistry, Materials Science +17

Accurate and efficient machine learning models for predicting hydrogen evolution reaction catalysts based on structural and electronic feature engineering in alloys

Jingzi Zhang, Yuelin Wang, Xuyan Zhou et al. · Nanoscale · 2023 · 39 citations

Natural Sciences, Materials Engineering, Materials Science +17

An integrated machine learning model for accurate and robust prediction of superconducting critical temperature

Jingzi Zhang, Ke Zhang, S. L. XU et al. · Journal of Energy Chemistry · 2022 · 25 citations

Natural Sciences, Materials Engineering, Materials Science +14

Enhancing Power Conversion Efficiency of Perovskite Solar Cells Through Machine Learning Guided Experimental Strategies

Antai Yang, Yonggui Sun, Jingzi Zhang et al. · Advanced Functional Materials · 2024 · 22 citations

Engineering, Materials Engineering, Materials Science +17

Integration of Microstructural Image Data into Machine Learning Models for Advancing High-Performance Perovskite Solar Cell Design

Haotian Liu, Antai Yang, Chengquan Zhong et al. · ACS Energy Letters · 2025 · 22 citations

Natural Sciences, Materials Engineering, Materials Science +17