Chengquan Zhong

6PUBLICATIONS
7CO-AUTHORS
Photovoltaic power systemsCircuits and systemsSemi- and unsupervised learningComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)Electrical circuits and systems
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Publications (6)

|Jun 22, 2026
Advancing the Design of High-Efficiency Printable Hole-Conductor-Free Mesoscopic Perovskite Solar Cells Through Machine Learning.

|Jun 15, 2026
Machine Learning for Superconductor Discovery: From Data-Driven Insights to Accelerated Design.

|Mar 31, 2026
Machine Learning-Guided Discovery of High-Performance Perovskite Solar Cells via Cluster Analysis and Experimental Validation.

Wajeeha Rahman, Chengquan Zhong, Jingzi Zhang

|Mar 20, 2025
Inverse Design of High-Performance Thermoelectric Materials via a Generative Model Combined with Experimental Verification.

Yanwu Long, Chengquan Zhong, Xiaojing Ma

|Oct 25, 2024
Enhancing Superconductor Critical Temperature Prediction: A Novel Machine Learning Approach Integrating Dopant Recognition.

Chengquan Zhong, Yuelin Wang, Yanwu Long

|Jun 16, 2023
Deep Generative Model for Inverse Design of High-Temperature Superconductor Compositions with Predicted Tc > 77 K.

Chengquan Zhong, Jingzi Zhang, Xiaoting Lu

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Frequent Collaborators

6 joint publications

Kailong Hu

5 joint publications

Xi Lin

5 joint publications

Xi Lin

4 joint publications

Jiakai Liu