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  1. KMCLib is a general framework for lattice kinetic Monte Carlo (KMC) simulations, to simulate the time evolution of systems of up to millions of particles in one, two or three dimensions.

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  2. 20 Ιουλ 2023 · This package includes a local cluster expansion model toolkit, a rejection-free kinetic Monte Carlo (rf-kMC) solver, and several python classes to extract ion transport properties such as diffusivities and conductivities.

  3. KMCLib is a general framework for lattice kinetic Monte Carlo (KMC) simulations, to simulate the time evolution of systems of up to millions of particles in one, two or three dimensions. KMCLib is organized as a collection of Python frontend functions, classes and interfaces for performing efficient lattice KMC simulations, with all ...

  4. kmcos is designed for lattice based Kinetic Monte Carlo simulations to understand chemical kinetics and mechanisms. It has been used to produce more than 10 scientific publications. Links to tutorials and other documentation are below.

  5. kmcos is designed for lattice based Kinetic Monte Carlo simulations to understand chemical kinetics and mechanisms. It has been used to produce more than 10 scientific publications. Links to tutorials and other documentation are below.

  6. pypi.org › project › kmcoskmcos - PyPI

    13 Δεκ 2022 · kmcos: Kinetic Monte Carlo of Systems. kmcos is designed for lattice based Kinetic Monte Carlo simulations to understand chemical kinetics and mechanisms. It has been used to produce more than 10 scientific publications. Links to tutorials and other documentation are below.

  7. SPPARKS is a parallel Monte Carlo code for on-lattice and off-lattice models that includes algorithms for kinetic Monte Carlo (KMC), rejection kinetic Monte Carlo (rKMC), and Metropolis Monte Carlo (MMC).