Modeling galvanostatic charge–discharge of nanoporous supercapacitors
2021 · Nature Computational Science · 98 citations
https://doi.org/10.1038/s43588-021-00153-5
L
Liang Zeng
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Liang Zeng is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Supercapacitor Materials and Fabrication & Advancements in Battery Materials & Advanced Battery Materials and Technologies. The author has an h-index of 21, co-authored 119 publications.
ORCID: 0000-0003-0085-9387Papers by this author
worksIdentifying MOFs for electrochemical energy storage via density functional theory and machine learning
2025 · npj Computational Materials · 20 citations
https://doi.org/10.1038/s41524-025-01590-w
Symmetrizing cathode-anode response to speed up charging of nanoporous supercapacitors
2021 · Green Energy & Environment · 17 citations
https://doi.org/10.1016/j.gee.2021.05.001
Atomistic simulation of batteries via machine learning force fields: From bulk to interface
2025 · Journal of Energy Chemistry · 9 citations
https://doi.org/10.1016/j.jechem.2025.02.051
Thermodynamic and molecular dynamics study of methane dry reforming
2024 · Journal of the Energy Institute · 8 citations
https://doi.org/10.1016/j.joei.2024.101870
Physics Career Education Day: Design, Implementation, and Assessment
2018 · Journal of Hispanic Higher Education · 7 citations
https://doi.org/10.1177/1538192718786957
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