Theoretical modeling of electrochemical proton-coupled electron transfer

RE Warburton, AV Soudackov… - Chemical …, 2022 - ACS Publications
Proton-coupled electron transfer (PCET) plays an essential role in a wide range of
electrocatalytic processes. A vast array of theoretical and computational methods have been …

A practical guide to surface kinetic Monte Carlo simulations

M Andersen, C Panosetti, K Reuter - Frontiers in chemistry, 2019 - frontiersin.org
This review article is intended as a practical guide for newcomers to the field of kinetic Monte
Carlo (KMC) simulations, and specifically to lattice KMC simulations as prevalently used for …

Mechanisms and free energies of enzymatic reactions

J Gao, S Ma, DT Major, K Nam, J Pu… - Chemical …, 2006 - ACS Publications
Most enzymatic reactions have very large and remarkably similar apparent second-order
rate constants, kcat/KM, at mean values of about 107 M-1 s-1 with kcat in the range of 10 …

Phase stability in the Fe–Ni system: Investigation by first-principles calculations and atomistic simulations

Y Mishin, MJ Mehl, DA Papaconstantopoulos - Acta materialia, 2005 - Elsevier
First-principles calculations of the energy of various crystal structures of Fe, Ni and ordered
Fe–Ni compounds with different stoichiometries have been performed by the linearized …

Heisenberg's uncertainty principle in the PTOLEMY project: A theory update

A Apponi, MG Betti, M Borghesi, A Boyarsky, N Canci… - Physical Review D, 2022 - APS
We discuss the consequences of the quantum uncertainty on the spectrum of the electron
emitted by the β-processes of a tritium atom bound to a graphene sheet. We analyze …

Thousands of reactants and transition states for competing E2 and S2 reactions

GF von Rudorff, SN Heinen, M Bragato… - Machine Learning …, 2020 - iopscience.iop.org
Reaction barriers are a crucial ingredient for first principles based computational retro-
synthesis efforts as well as for comprehensive reactivity assessments throughout chemical …

Complex chemical reaction networks from heuristics-aided quantum chemistry

D Rappoport, CJ Galvin, DY Zubarev… - Journal of chemical …, 2014 - ACS Publications
While structures and reactivities of many small molecules can be computed efficiently and
accurately using quantum chemical methods, heuristic approaches remain essential for …

[HTML][HTML] Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space

S Heinen, GF von Rudorff… - The Journal of Chemical …, 2021 - pubs.aip.org
The interplay of kinetics and thermodynamics governs reactive processes, and their control
is key in synthesis efforts. While sophisticated numerical methods for studying equilibrium …

Efficient and transferable machine learning potentials for the simulation of crystal defects in bcc Fe and W

AM Goryaeva, J Dérès, C Lapointe, P Grigorev… - Physical Review …, 2021 - APS
Data-driven, or machine learning (ML), approaches have become viable alternatives to
semiempirical methods to construct interatomic potentials, due to their capacity to accurately …

Construction of a pathway map on a complicated energy landscape

J Yin, Y Wang, JZY Chen, P Zhang, L Zhang - Physical review letters, 2020 - APS
How do we search for the entire family tree of possible intermediate states, without
unwanted random guesses, starting from a stationary state on the energy landscape all the …