动力学蒙特卡罗方法
Python(编程语言)
蒙特卡罗方法
计算机科学
实施
动能
计算科学
化学
统计物理学
物理
程序设计语言
数学
量子力学
统计
作者
Mikkel Jørgensen,Henrik Grönbeck
摘要
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.
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