69 citations · 148 across the 4 of their papers we have counts for
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cond-mat.mtrl-sci2023★ 1 cited
Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties
Sheng Gong, Shuo Wang, Taishan Zhu +2
The widespread application of multimodal machine learning models like GPT-4 has revolutionized various research fields including computer vision and natural language processing. Ho…
cond-mat.mtrl-sci2021★ 47 cited
Calibrating DFT formation enthalpy calculations by multi-fidelity machine learning
Sheng Gong, Shuo Wang, Tian Xie +3
Machine learning materials properties measured by experiments is valuable yet difficult due to the limited amount of experimental data. In this work, we use a multi-fidelity random…
cond-mat.mtrl-sci2020★ 31 cited
Screening and understanding Li adsorption on 2-dimensional metallic materials by learning physics
Sheng Gong, Shuo Wang, Taishan Zhu +2
Two-dimensional (2D) materials have received considerable attention as possible electrodes in Li-ion batteries (LIBs), although a deeper understanding of the Li adsorption behavior…