1 citations · 1 across the 2 of their papers we have counts for
3 papers
Benchmarking short-range machine learning potentials for atomistic simulations of metal/electrolyte interfaces
Lucas B. T. de Kam, Jia-Xin Zhu, Ankit Mathanker +2
Atomistic simulations of electrochemical interfaces remain challenging due to the long time scales required to adequately sample the structure of the electric double layer. The eme…
Electrolyte effects on the alkaline hydrogen evolution reaction: a mean-field approach
Lucas B. T. de Kam, Thomas L. Maier, Katharina Krischer
This paper introduces the combination of an advanced double-layer model with electrochemical kinetics to explain electrolyte effects on the alkaline hydrogen evolution reaction. It…
How Metal/Insulator Interfaces Enable the Enhancement of the Hydrogen Evolution Reaction Kinetics in Two Ways
Thomas L. Maier, Lucas B. T. de Kam, Matthias Golibrzuch +3
Laterally nanostructured surfaces give rise to a new dimension of understanding and improving electrochemical reactions. In this study, we present a peculiar mechanism appearing at…