The Research and Postgraduate Centre congratulates Prof. Zheng Jin-Cheng and his student Ng Yi Sheng from the Department of New Energy Science and Engineering, Xiamen University Malaysia, on their recent publication in ACS Applied Energy Materials (IF: 5.5).

Ng Yi Sheng, a PhD candidate from Department of New Energy Science and Engineering, conducted this research under the supervision of Prof. Zheng Jin-Cheng .

The article, titled "Machine Learning with Interpretable Local Descriptors for Hydrogen Evolution Reaction on Borophene: Prediction and Physical Insights", presents a machine learning framework to investigate the theoretical catalytic efficiency of borophene for the hydrogen evolution reaction (HER), a key process in green hydrogen production. Borophene, a two-dimensional material composed solely of boron, exhibits a range of structural phases distinguished only by atomic arrangement. This study systematically analyzes these structural variations and their influence on catalytic activity, revealing the conditions that optimize HER performance.

This research was supported by the Ministry of Higher Education Malaysia through the Fundamental Research Grant Scheme (FRGS/1/2021/STG05/XMU/01/1).