Kinetic Monte Carlo simulations demonstrate improved performance in heterogeneous catalysis, suggesting significant advancements in computational efficiency.
Kinetic Monte Carlo (KMC) simulations are broadly used to investigate chemical and materials systems where a balance between atomic detail and diffusion or reaction time scales is needed. Here we present KinCat, an open-source 2D KMC package designed for use in lattice-KMC studies of surface kinetics in heterogeneous catalytic systems. It is written in C++ and uses Kokkos to facilitate use on a variety of shared-memory CPU/GPU/accelerator systems. We demonstrate the performance scaling of KinCat on GPU and CPU architectures, using CO oxidation on RuO₂ as a model system. KinCat efficiently manages large lattice KMC simulations using a parallel domain-decomposition algorithm.
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Daniels et al. (2026) studied this question.
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