Kinetic Monte Carlo (kMC) is an essential tool in heterogeneous catalysis enabling the understanding of dominant reaction mechanisms and kinetic bottlenecks. Here we present MonteCoffee, which is a general-purpose object-oriented and programmable kMC application written in python. We outline the implementation and provide examples on how to perform simulations of reactions on surfaces and nanoparticles and how to simulate sorption isotherms in zeolites. By permitting flexible and fast code development, MonteCoffee is a valuable alternative to previous kMC implementations
Despite the successful and ever widening adoption of kinetic Monte Carlo (KMC) simulations in the ar...
Kinetic Monte Carlo (KMC) uses random numbers to simulate the time evolution of processes with well-...
We present a numerical framework to integrate first-principles kinetic Monte Carlo (1p-kMC) based mi...
Kinetic Monte Carlo (kMC) simulations have emerged as a key tool for microkinetic modeling in hetero...
Kinetic Monte Carlo (KMC) simulations have been instrumental in advancing our fundamental understand...
Kinetic Monte Carlo (KMC) simulations in combination with first-principles-based calculations are ra...
Kinetic Monte Carlo (kMC) is a set of scientific libraries designed to deploy kMC simulations intend...
•Mathematical framework for parallel algorithms in lat-tice kinetic Monte Carlo (kMC) simulations, t...
Despite the successful and ever widening adoption of kinetic Monte Carlo (KMC) simulations in the ar...
On-lattice Kinetic Monte Carlo (KMC) is a powerful computational method that is widely used to study...
Kinetic Monte Carlo (KMC) simulations in combination with first-principles (1p)-based calculations a...
This review article is intended as a practical guide for newcomers to the field of kinetic Monte Car...
Existing kinetic Monte Carlo (KMC) frameworks for the simulation of adsorption, desorption, diffusio...
On-lattice Kinetic Monte Carlo (KMC) is a computational method used to simulate (among others) physi...
KMCLib is a general framework for lattice kinetic Monte Carlo (KMC) simulations. The program can han...
Despite the successful and ever widening adoption of kinetic Monte Carlo (KMC) simulations in the ar...
Kinetic Monte Carlo (KMC) uses random numbers to simulate the time evolution of processes with well-...
We present a numerical framework to integrate first-principles kinetic Monte Carlo (1p-kMC) based mi...
Kinetic Monte Carlo (kMC) simulations have emerged as a key tool for microkinetic modeling in hetero...
Kinetic Monte Carlo (KMC) simulations have been instrumental in advancing our fundamental understand...
Kinetic Monte Carlo (KMC) simulations in combination with first-principles-based calculations are ra...
Kinetic Monte Carlo (kMC) is a set of scientific libraries designed to deploy kMC simulations intend...
•Mathematical framework for parallel algorithms in lat-tice kinetic Monte Carlo (kMC) simulations, t...
Despite the successful and ever widening adoption of kinetic Monte Carlo (KMC) simulations in the ar...
On-lattice Kinetic Monte Carlo (KMC) is a powerful computational method that is widely used to study...
Kinetic Monte Carlo (KMC) simulations in combination with first-principles (1p)-based calculations a...
This review article is intended as a practical guide for newcomers to the field of kinetic Monte Car...
Existing kinetic Monte Carlo (KMC) frameworks for the simulation of adsorption, desorption, diffusio...
On-lattice Kinetic Monte Carlo (KMC) is a computational method used to simulate (among others) physi...
KMCLib is a general framework for lattice kinetic Monte Carlo (KMC) simulations. The program can han...
Despite the successful and ever widening adoption of kinetic Monte Carlo (KMC) simulations in the ar...
Kinetic Monte Carlo (KMC) uses random numbers to simulate the time evolution of processes with well-...
We present a numerical framework to integrate first-principles kinetic Monte Carlo (1p-kMC) based mi...