Yihang Li

Nov 6, 2024 | mdpi.com | Yihang Li |Miaomiao Lin |Peng Zhang |Qina Zhang

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Jun 26, 2024 | pubs.rsc.org | Yihang Li |Xinying Zhang |Tao Li |Yingying Chen

Accelerating Materials Discovery for Electrocatalytic Water Oxidation via Center-Environment Deep Learning in Spinel Oxides Identifying efficient electrocatalysts for oxygen evolution reaction (OER) is vital for sustainable energy. This study focuses on efficient spinel OER electrocatalysts. We utilize a covalent competition-based interpretable machine learning process, combining DFT and ML, to evaluate 5329 spinel structures for identifying promising OER electrocatalysts.

Jul 15, 2023 | dx.doi.org | Xiaoguang Zhao |Yili Tang |Jie Wang |Yihang Li

Fully stimulating the capacity of light-driven phase change materials (PCMs) for efficient capture, conversion, and storage solar energy requires an ingenious combination of PCMs, supporting structural materials, and photothermal materials, therefore motivating the synergistic effects between the components.