Michael T Tang

Stanford University and SLAC National Acc. Lab 
catalysis, electrochemistry, batteries
"Michael Tang"
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Jens K. Nørskov grad student 2015-2020 Stanford


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Michael Verde collaborator 2012-2014 UCSD
Dilworth Y. Parkinson collaborator 2014-2015
Karen Chan collaborator 2015-2020 Technical University of Denmark (Neurotree)
Yi Cui collaborator 2016-2020 Stanford
Hongjie Peng collaborator 2018-2020 SLAC National Accelerator Laboratory (E-Tree)
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Zhao Y, Hwang J, Tang MT, et al. (2020) Ultrastable molybdenum disulfide-based electrocatalyst for hydrogen evolution in acidic media Journal of Power Sources. 456: 227998
Tang MT, Peng H, Lamoureux PS, et al. (2020) From electricity to fuels: Descriptors for C1 selectivity in electrochemical CO2 reduction Applied Catalysis B-Environmental. 279: 119384
Wu Y, Ringe S, Wu CL, et al. (2019) A Two-Dimensional MoS2 Catalysis Transistor by Solid-State Ion Gating Manipulation and Adjustment (SIGMA). Nano Letters
You B, Tang MT, Tsai C, et al. (2019) Enhancing Electrocatalytic Water Splitting by Strain Engineering. Advanced Materials (Deerfield Beach, Fla.). e1807001
Liu X, Schlexer P, Xiao J, et al. (2019) pH effects on the electrochemical reduction of CO towards C products on stepped copper. Nature Communications. 10: 32
Clark EL, Ringe S, Tang M, et al. (2019) Influence of Atomic Surface Structure on the Activity of Ag for the Electrochemical Reduction of CO2 to CO Acs Catalysis. 9: 4006-4014
Wang H, Liang Z, Tang M, et al. (2019) Self-Selective Catalyst Synthesis for CO2 Reduction Joule. 3: 1927-1936
Tang MT, Ulissi ZW, Chan K. (2018) Theoretical Investigations of Transition Metal Surface Energies under Lattice Strain and CO Environment Journal of Physical Chemistry C. 122: 14481-14487
Ulissi ZW, Tang MT, Xiao J, et al. (2017) Machine-Learning Methods Enable Exhaustive Searches for Active Bimetallic Facets and Reveal Active Site Motifs for CO2 Reduction Acs Catalysis. 7: 6600-6608
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