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Introduction to kinetic Monte Carlo (kMC) Simulations with Examples in Jupyter Notebooks

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Introduction to kinetic Monte Carlo (kMC) Simulations with Examples in Jupyter Notebooks

The notebooks contain the basic concepts of kinetic Monte Carlo simluations and its applications in both well-mixed and lattice systems taken from the literature.

For lattice kMC, the software named zacros is used. Its Python Wrapper can be downloaded or cloned from Zacros-Wrapper GitHub repository.

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Well-mixed kMC:

  1. Intro to kMC with a Michaelis-Menten Example

  2. Samlping and Computing Average with a Gene Expression Mechanism

  3. Modeling Oscilliations with an Auto Catalysis Mechanism

Lattice kMC:

  1. CO Oxidation Example on Pd(111) by Zacros and Zacros Wrapper

Click Binder to play with the interactive notebooks on your browser

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Introduction to kinetic Monte Carlo (kMC) Simulations with Examples in Jupyter Notebooks

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