Daniel A. Torelli

Machine-Learning Methods Enable Exhaustive Searches for Active Bimetallic Facets and Reveal Active Site Motifs for CO₂ Reduction

Zachary W. Ulissi, Michael T. Tang, Jianping Xiao et al. · ACS Catalysis · 2017 · 380 citations · Full text

Natural Sciences, Chemistry, Materials Science +17

Nickel–Gallium-Catalyzed Electrochemical Reduction of CO₂ to Highly Reduced Products at Low Overpotentials

Daniel A. Torelli, Sonja A. Francis, J. Chance Crompton et al. · ACS Catalysis · 2016 · 303 citations · Full text

Natural Sciences, Chemistry, Materials Science +17

Self‐Assembled Bilayer Films of Ruthenium(II)/Polypyridyl Complexes through Layer‐by‐Layer Deposition on Nanostructured Metal Oxides

Kenneth Hanson, Daniel A. Torelli, Aaron K. Vannucci et al. · Angewandte Chemie International Edition · 2012 · 134 citations

Natural Sciences, Chemistry, Materials Science +16

Surface reconstruction of pure-Cu single-crystal electrodes under CO-reduction potentials in alkaline solutions: A study by seriatim ECSTM-DEMS

Youn-Geun Kim, Alnald Javier, Jack H. Baricuatro et al. · Journal of Electroanalytical Chemistry · 2016 · 125 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Water Oxidation by an Electropolymerized Catalyst on Derivatized Mesoporous Metal Oxide Electrodes

Dennis L. Ashford, Alexander M. Lapides, Aaron K. Vannucci et al. · Journal of the American Chemical Society · 2014 · 115 citations

Natural Sciences, Chemical Engineering, Chemistry +17