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Bin Jiang

Researcher Next ID · RN-021628

Researcher · Physics and Astronomy

University of Science and Technology of China

Hefei, Hungary

Not currently recruitingFunding unknown
Works count
711
Citation count
16,621
H-index
64
i10-index
327

Research interests

Physics and Astronomy
Engineering
Materials Science
Advanced Chemical Physics Studies
Fault Detection and Control Systems
Magnesium Alloys: Properties and Applications
Spectroscopy and Quantum Chemical Studies
Machine Learning in Materials Science

Publications

  • Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives

    IEEE Transactions on Neural Networks and Learning Systems · 2023 · 10.1109/tnnls.2023.3290974

  • Selective laser melting of magnesium alloys: Necessity, formability, performance, optimization and applications

    Journal of Material Science and Technology · 2023 · 10.1016/j.jmst.2022.12.053

  • Mechanically Ultra‐Robust, Elastic, Conductive, and Multifunctional Hybrid Hydrogel for a Triboelectric Nanogenerator and Flexible/Wearable Sensor

    Small · 2022 · 10.1002/smll.202203956

  • Shielded goethite catalyst that enables fast water dissociation in bipolar membranes

    Nature Communications · 2021 · 10.1038/s41467-020-20131-1

  • High-Fidelity Potential Energy Surfaces for Gas-Phase and Gas–Surface Scattering Processes from Machine Learning

    The Journal of Physical Chemistry Letters · 2020 · 10.1021/acs.jpclett.0c00989

  • Coplanar Pt/C Nanomeshes with Ultrastable Oxygen Reduction Performance in Fuel Cells

    Angewandte Chemie International Edition · 2020 · 10.1002/anie.202014857

  • Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation

    The Journal of Physical Chemistry Letters · 2019 · 10.1021/acs.jpclett.9b02037

  • Low Cost Metal Carbide Nanocrystals as Binding and Electrocatalytic Sites for High Performance Li–S Batteries

    Nano Letters · 2018 · https://doi.org/10.1021/acs.nanolett.7b04505

  • Atomically Dispersed Copper–Platinum Dual Sites Alloyed with Palladium Nanorings Catalyze the Hydrogen Evolution Reaction

    Angewandte Chemie International Edition · 2017 · 10.1002/anie.201709803

  • Potential energy surfaces from high fidelity fitting of ab initio points: the permutation invariant polynomial - neural network approach

    International Reviews in Physical Chemistry · 2016 · https://doi.org/10.1080/0144235x.2016.1200347

  • Quantum dynamics of polyatomic dissociative chemisorption on transition metal surfaces: mode specificity and bond selectivity

    Chemical Society Reviews · 2015 · 10.1039/c5cs00360a

  • Vibrationally Promoted Dissociation of Water on Ni(111)

    Science · 2014 · 10.1126/science.1251277

  • The Sudden Vector Projection Model for Reactivity: Mode Specificity and Bond Selectivity Made Simple

    Accounts of Chemical Research · 2014 · 10.1021/ar500350f

  • Permutation invariant polynomial neural network approach to fitting potential energy surfaces. III. Molecule-surface interactions

    The Journal of Chemical Physics · 2014 · 10.1063/1.4887363

  • Permutation invariant polynomial neural network approach to fitting potential energy surfaces

    The Journal of Chemical Physics · 2013 · https://doi.org/10.1063/1.4817187

  • Permutation invariant polynomial neural network approach to fitting potential energy surfaces. II. Four-atom systems

    The Journal of Chemical Physics · 2013 · https://doi.org/10.1063/1.4832697

  • Relative efficacy of vibrational vs. translational excitation in promoting atom-diatom reactivity: Rigorous examination of Polanyi's rules and proposition of sudden vector projection (SVP) model

    The Journal of Chemical Physics · 2013 · 10.1063/1.4810007

  • Control of Mode/Bond Selectivity and Product Energy Disposal by the Transition State: X + H2O (X = H, F, O(3P), and Cl) Reactions

    Journal of the American Chemical Society · 2013 · 10.1021/ja408422y

  • Communication: An accurate global potential energy surface for the ground electronic state of ozone

    The Journal of Chemical Physics · 2013 · 10.1063/1.4837175

  • Mode selectivity in methane dissociative chemisorption on Ni(111)

    Chemical Science · 2013 · 10.1039/c3sc51040a

  • Communication: A chemically accurate global potential energy surface for the HO + CO → H + CO2 reaction

    The Journal of Chemical Physics · 2012 · 10.1063/1.3680256

  • Clustering Uncertain Data Based on Probability Distribution Similarity

    IEEE Transactions on Knowledge and Data Engineering · 2011 · 10.1109/tkde.2011.221

  • Metal-Insulator Transition and Its Relation to Magnetic Structure in ( LaMnO 3 ) 2 n / ( SrMnO 3 ) n Superlattices

    Physical Review Letters · 2008 · 10.1103/physrevlett.100.257203

  • Electronic Reconstruction at SrMnO3−LaMnO3 Superlattice Interfaces

    Physical Review Letters · 2007 · 10.1103/physrevlett.99.196404

  • Probabilistic skylines on uncertain data

    Journal · 2007

Current projects

    No projects listed.