Permutation invariant polynomial neural network approach to fitting potential energy surfaces
2013 · The Journal of Chemical Physics · 539 citations
https://doi.org/10.1063/1.4817187
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Bin Jiang
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Bin Jiang is an academic researcher from South China Agricultural University. The author has contributed to research in topics: Advanced Chemical Physics Studies & Fault Detection and Control Systems & Magnesium Alloys: Properties and Applications. The author has an h-index of 63, co-authored 610 publications.
ORCID: 0000-0003-2696-5436Papers by this author
worksShielded goethite catalyst that enables fast water dissociation in bipolar membranes
2021 · Nature Communications · 112 citations
https://doi.org/10.1038/s41467-020-20131-1
Universal machine learning for the response of atomistic systems to external fields
2023 · Nature Communications · 60 citations
https://doi.org/10.1038/s41467-023-42148-y
Vibrational control of selective bond cleavage in dissociative chemisorption of methanol on Cu(111)
2018 · Nature Communications · 47 citations
https://doi.org/10.1038/s41467-018-06478-6
Atomistic neural network representations for chemical dynamics simulations of molecular, condensed phase, and interfacial systems: Efficiency, representability, and generalization
2022 · Wiley Interdisciplinary Reviews Computational Molecular Science · 41 citations
https://doi.org/10.1002/wcms.1645
Second-order sliding-mode on SO(3) and fault-tolerant spacecraft attitude control
2022 · Automatica · 40 citations
https://doi.org/10.1016/j.automatica.2022.110814
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