/NumericalMethodsSoftM

In this repository, you will find the completed weekly exercises for the course of Numerical methods in Soft matter, academic Year 2023/2024 (prof. Orlandini, Locatelli, Baiesi)

Primary LanguageJupyter NotebookMIT LicenseMIT

Numerical Methods in Soft Matter - PoD
University of Padua
2023/2024

In this repository, you will find the completed weekly exercises for the course of Numerical methods in Soft matter, academic Year 2023/2024 (prof. Orlandini, Locatelli, Baiesi)

Prof. Orlandini:

  • Homework 1, 2, 3: Sampling random points and via transformation of coordinates; importance sampling

  • Homework 4: Markov Chains

  • Homework 5: Simulation of a 2D Ising model by the Metropolis algorithm

Prof. Baiesi:

  • Homework 6: Advanced simulation of a 2D Ising model: Wolff algorithm and Multiple Markov Chains

  • Homework 7: Continuous time Markov processes

  • Homework 12: Reweighting techniques

  • Homework 13: Langevin simulation of many particles: Cell List algorithm

Prof. Locatelli:


Gif from 11.3 exercise gaussian polymer.

Demo GIF


Contact

For more information, contact gloria.isotton@studenti.unipd.it. Note that chapter 8-11 data and notebooks are missing due to space constraints. Enjoy soft matter and good luck!