A Framework for Metropolis Monte Carlo Simulation of Molecular Systems
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Updated
Jul 24, 2024 - C++
A Framework for Metropolis Monte Carlo Simulation of Molecular Systems
A python based, MPI enabled, Monte-Carlo calculation of 2D system using Metropolis algorithm.
A program implementing Metropolis Monte Carlo for the 2D square-lattice Ising model and the spin block renormalization
Simulation of XYmodel and ISING model of graphene-like lattice with Metropolis Monte Carlo
Simulation code for a 2D Ising ferromagnet with periodic boundary conditions using the Wolff algorithm
These are Stochastic Optimization Codes by using various Techniques to optimize the function/Feature Selection
Simulation of XY model (Kosterlitz–Thouless transition) in Cython
Bayesian thinking and Information Theory
Numerical Simulation Laboratory at Unimi in 2020-2021 (D.E. Galli). Advanced Monte Carlo methods: Markov chains, Metropolis algorithm. Numerical simulations in statistical mechanics. Stochastic calculus and stochastic differential equation. Computational intelligence, stochastic optimization. Parallel computing and parallel programming. Machine …
Statistical models and proofs done for my Bayesian Statistics and Markov Chain/Monte Carlo class at Yale. Original problem statements and prompts available upon request!
C++ implementation of the 1D and 2D (square lattice) Ising model
Scripts for 2D multimodal image registration
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
This is an old version of the project. Find the new (and final) version under my github repositories
Esercizi da consegnare per il corso di Simulazione Numerica - prof. Davide Emilio Galli
Python code to carry out Monte carlo simulation of 108 Ar atoms in an NVE ensemble.
Lennard Jones system optimization using the Metropolis Hastings and Simulated Annealing algorithms.
Project developed for the Numeric Simulation Laboratory A.A. 2022-2023, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
3 states magnetic model
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