High-throughput screening platform for solid electrolytes combining hierarchical ion-transport prediction algorithms
2020 · Scientific Data · 174 citations
https://doi.org/10.1038/s41597-020-0474-y
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Shuting Chi
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5
h-index
5
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Shuting Chi is an academic researcher from Shanghai University of Engineering Science. The author has contributed to research in topics: Machine Learning in Materials Science & Advanced Battery Materials and Technologies & Fuel Cells and Related Materials. The author has an h-index of 5, co-authored 17 publications.
Papers by this author
worksCAVD, towards better characterization of void space for ionic transport analysis
2020 · Scientific Data · 84 citations
https://doi.org/10.1038/s41597-020-0491-x
High-Throughput Screening Platform for Solid Electrolytes Combining Hierarchical Ion-Transport Prediction Algorithms.
2020 · Figshare · 1 citations
https://doi.org/10.6084/m9.figshare.12011412
Ion-transport descriptor data for 6,995 Li-, Na-, Mg-, and Al-containing compounds
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.11448159.v2
High-Throughput Screening Platform for Solid Electrolytes Combining Hierarchical Ion-Transport Prediction Algorithms
2020 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.11406540
High-Throughput Screening Platform for Solid Electrolytes Combining Hierarchical Ion-Transport Prediction Algorithms
2019 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.11406540.v1
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