Maxim Secor
Modeling of multi-proton coupled electron transfer and investigation of nuclear quantum effects at interfaces
B.A./M.A. in Chemistry, 2015
Boston University, Boston, MA
Location
Contact
Sharon Hammes-Schiffer
Sterling Professor of Chemistry
Sterling Chemistry Lab, Rm 178
Department of Chemistry
Yale University
225 Prospect Street, PO Box 208107
New Haven, CT 06520-8107
Phone: (203) 436-3936
e-mail: sharon.hammes-schiffer@yale.edu
Tags in Publications
[FeFe]-hydrogenase models [NiFe]-hydrogenase models BLUF catalysis coupled motions Density functional theory treatment Dihydrofolate reductase DNA DNA polymerase electron transfer Electron-proton correlation electrostatics enzyme catalysis Escherichia coli Hartree-Fock HDV ribozyme hydride transfer hydrogen atom transfer hydrogen bonding hydrogen evolution hydrogen tunneling inverted region behavior Ketosteroid Isomerase kinetic isotope effect Liver alcohol dehydrogenase metal ion molecular dynamics molecular electrocatalysts multicomponent density functional theory Nonadiabatic dynamics nonadiabaticity Nuclear quantum effects nuclear-electronic orbital photoinduced proton-coupled electron transfer proton relays Proton transfer proton-coupled electron transfer QM/MM real-time nuclear-electronic orbital reorganization energies ribozyme solvent dynamics Soybean lipoxygenase Surface hopping Vibrational analysis
Artificial neural networks as propagators in quantum dynamics
/in alexander, max, Publications /by Jiayun Zhong313. M. Secor, A. V. Soudackov, and S. Hammes-Schiffer, “Artificial neural networks as propagators in quantum dynamics,” J. Phys. Chem. Lett. 12, 10654-10662 (2021). DOI: 10.1021/acs.jpclett.1c03117
Multi PCET in symmetrically substituted benzimidazoles
/in max, Publications /by Jiayun Zhong312. E. Odella, M. Secor, M. Elliot, T. L. Groy, T. A. Moore, S. Hammes-Schiffer, and A. L. Moore, “Multi PCET in symmetrically substituted benzimidazoles,” Chem. Sci. 12, 12667-12675 (2021). DOI: 10.1039/D1SC03782J
Artificial neural networks as mappings between proton potentials, wave functions, densities, and energy levels
/in alexander, max, Publications /by Coraline Tao299. M. Secor, A. V. Soudackov, and S. Hammes-Schiffer, “Artificial neural networks as mappings between proton potentials, wave functions, densities, and energy levels,” J. Phys. Chem. Lett. 12, 2206-2212 (2021).