GPU Monte Carlo Simulation Code with a taste of RASPA

metal-organic-frameworks 开源项目推荐(50 个)
metal-organic-frameworks 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 50 个仓库一种快速识别和分析金属有机框架的系统
An ecosystem for digital reticular chemistry
创建可供计算的金属有机框架数据库的工作流程。
A fast and accurate model to estimate DFT quality partial atomic charges of periodic materials
For the conversion of crystal systems (as cifs) to LAMMPS inputs
A python package to deconstruct MOFs, COFs or Cages into building units, compute porosity, remove unbound guests and compute cheminfomatic data of building units
Split a MOF into its building blocks.
Python code for the paper Bayesian Optimization of Nanoporous Materials.
zeo++ fork of the LSMO
AIM (Adsorption Integrated Modules) is a collection of MATLAB based GUI modules for adsorption isotherm based fixed bed process modelling
该项目在 GitHub 上没有填写描述
Files for molecular dynamics simulation of ZIF-8 metal-organic framework with embeded guest molecules.
MOFGalaxyNet aims to create a social network for Metal-Organic Frameworks (MOFs) and predict their properties using Graph Convolutional Networks (GCN). It fosters collaboration and exploration in the field of MOFs through social network analysis and machine learning.
A genetic algorithm for powder refinement focused on matching peak positions and unit cell parameters.
Python package for deep learning on porous materials and beyond.
Python package for parallel calculation of energy voxels.
All วัยรุ่นอเมริกา Team's works at Thailand Machine Learning for Chemistry Competition (TMLCC) | 6th place on Final Phase's Leaderboard
The VASP input files for my Master's Thesis investigating Magnetic Metal-Organic Frameworks
MicMec, the first implementation of the micromechanical model, ever.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/metal-organic-frameworks。
- 该话题在 GitHub 上共有 50 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 533 Star,覆盖 5 种主要语言,数据更新于 2026-11-13。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。