isingLenzMC: Monte Carlo for Classical Ising Model Repository: msuzen/isingLenzMC Type: Public Repository Stars: 9 Forks: 2 Watchers: 3 Commits: 18 (on master branch) Releases: 2 (latest release "Dataset links" on Sep 18, 2025) License: GPL-3 (linked through LICENCE.note file) --- Description isingLenzMC is a software package focused on simulating the classical Ising model, a fundamental system in statistical physics for explaining spin glasses, magnetic materials, phase transitions, and neural networks. It features: Simulation tools for the one-dimensional Ising model Monte Carlo methods: Metropolis and Glauber with single flip dynamics Periodic boundary conditions Utility functions for exact solutions The package includes a core C library to support its main features. --- Topics The repository is tagged with relevant topics including: deep-learning physics monte-carlo statistical-mechanics neural-networks ising-model hopfield-network hopfield spin-glass --- Related Publications and Datasets Effective ergodicity in single-spin-flip dynamics Author: Mehmet Suezen Published in: Phys. Rev. E 90, 032141 Dataset Anomalous diffusion in convergence to effective ergodicity Author: Mehmet Suezen arXiv:1606.08693 Dataset --- Repository Structure The repository contains directories and files including: Directories: R/ inst/ man/ src/ vignettes/ Files: .Rbuildignore .travis.yml DESCRIPTION GPL-3 (license) LICENCE.note NAMESPACE NEWS README.md --- Languages Code is primarily written in: Jupyter Notebook (43.1%) R (41.4%) C (15.5%) --- Additional Info Stable release published on CRAN (Comprehensive R Archive Network) Badges show CRAN version, total RStudio Cloud downloads, relevant DOIs, and arXiv references The README provides further details about the package usage and functionality. --- This repository is suitable for researchers and developers interested in Monte Carlo simulations of classical statistical physics models, particularly the Ising model, with functionalities demonstrated in R and C environments.