An ecosystem for digital reticular chemistry
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Updated
Aug 14, 2024 - Python
An ecosystem for digital reticular chemistry
A system for rapid identification and analysis of metal-organic frameworks
Split a MOF into its building blocks.
Python code for the paper Bayesian Optimization of Nanoporous Materials.
For the conversion of crystal systems (as cifs) to LAMMPS inputs
zeo++ fork of the LSMO
A genetic algorithm for powder refinement focused on matching peak positions and unit cell parameters.
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.
MicMec, the first implementation of the micromechanical model, ever.
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
This GitHub repository contains additional information supporting published manuscripts
Files for molecular dynamics simulation of ZIF-8 metal-organic framework with embeded guest molecules.
his team-based project was my dissertation project during my tenure as a postgraduate student at the University of Nottingham. Using the foundation laid by computation chemistry screening methods, this project attempted to use machine learning to identify useful MOF structures from a much larger dataset without the need for any lab work.
Files for molecular dynamics simulation of MFM-300 metal-organic frameworks.
Python package for parallel calculation of energy voxels.
A 3D ConvNet for Reticular Chemistry.
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