Publications

Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts

Authors: Rui Ding, Jianguo Liu, Kang Hua, Xuebin Wang, Xiaoben Zhang, Minhua Shao, Yuxin Chen*, and Junhong Chen*

Journal: Science Advances 2025, 11, eadr9038

Preprint: arXiv:2407.04877

Unlocking the Potential: Machine Learning Applications in Electrocatalyst Design for Electrochemical Hydrogen Energy Transformation

Authors: Rui Ding, Junhong Chen*, Yuxin Chen*, Jianguo Liu, Yoshio Bando, Xuebin Wang*

Journal: Chemical Society Reviews, 2024, 53, 11390-11461

DOI: 10.1039/D4CS00844H

Note: Journal cover

Leveraging Artificial Intelligence and Machine Learning to Accelerate Material Discovery in Water Applications

Authors: Rui Ding, Haihui Pu, Kuldip Kumar, Jonathan S. Grabowy, Dominic A. Brose, Maria Chan, Seth B. Darling, Andrew Ferguson, Yuxin Chen*, Junhong Chen*

Journal: Under Review by Nature Water

Expediting field-effect transistor chemical sensor design with neuromorphic spiking graph neural networks

Authors: Rodrigo P. Ferreira‡, Rui Ding‡, Fengxue Zhang, Haihui Pu, Claire Donnat*, Yuxin Chen*, Junhong Chen*

Journal: Molecular Systems Design & Engineering 2025, 10, 345-356

DOI: 10.1039/D4ME00203B

Note: Journal cover and part of MSDE Recent HOT Articles collection

Broad-scope Reasoning Artificial Intelligence for Nano-micro material and devices Identification, Assessment, and Categorization (BRAINIAC)

Authors: Rui Ding, Junhong Chen, Yuxin Chen

Type: Invention Disclosure

Institution: Polsky Center for Entrepreneurship and Innovation-The University of Chicago

Status: In Preparation