Bing Yan AI + Chemistry Ph.D. student at NYU Ph.D. in chemistry from MIT [bing.yan@nyu.edu] [cv]

My research focuses on AI + Chemistry, aiming to automate catalyst design and evaluation processes.

Current Research Area

• Automatic evaluation of catalyst design for asymmetric catalysis.
• Retro-synthesis planning using large language models.
• Mechanistic study and transition state prediciton.

Selected Papers

	Electrochemical Activation of C-C Bonds via Mediated Hydrogen Atom Transfer Reactions Bing Yan, Changxia Shi, Gregg T. Beckham, Eugene Y.-X. Chen, Yuriy Roman-Leshkov. ChemSusChem. 2022, 15, e202102317
	Mixed Electron-Proton Conductors Enable Spatial Separation of Bond Activation and Charge Transfer in Electrocatalysis Bing Yan, Ryan P. Bisbey, Alexander Alabugin, Yogesh Surendranath. J. Am. Chem. Soc. 2019, 141, 11115-11122
	Surface Restructuring of Nickel Sulfide Generates Optimally Coordinated Active Sites for Oxygen Reduction Catalysis Bing Yan, Dilip Krishnamurthy, Christopher H. Hendon, Siddharth Deshpande, Yogesh Surendranath. Joule 2017, 1, 600-612. Referred to by Fang Song, Jordan Katz, Xile Hu in "Catalyst Surface Dynamics Reveals a Simple Geometric Descriptor of Activity" Joule 2017, 1, 421-430.
	A Membrane-Free Neutral pH Formate Fuel Cell Enabled by a Selective Ni3S2 Oxygen Reduction Catalyst Bing Yan, Nolan M. Concannon, Yogesh Surendranath.. Inside Cover. Angew. Chem. Int. Ed. 2017, 56, 7496-7499

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