MOFSynth is a Python package for MOF synthesizability evaluation, with emphasis on reticular chemistry.
In materials science, especially in the synthesis of metal-organic frameworks (MOFs), a significant portion of time and effort is spent on the experimental process of synthesizing and evaluating the viability of MOFs.
MOFSynth aims to provide a simple and efficient interface for evaluating the synthesizability of metal-organic frameworks (MOFs) in an experiment-ready format, minimizing the time and labor traditionally required for these experimental preprocessing steps. This allows researchers to focus more on innovative synthesis and experimental validation rather than on preparatory tasks.
It is strongly recommended to perform the installation inside a virtual environment.
python -m venv <venvir_name>
source <venvir_name>/bin/activatepip install mofsynthTo run MOFSynth, the following modules and tools must be present in your system:
- mofid v1.1.0: A Python library for MOF identification and characterization.
- TURBOMOLE v6.5: A computational chemistry program package.
Easy to use Web version of the tool.
Check the tutorial.
You can start by opening an issue or communicate via email.
Please consider citing this publication or use the following BibTex.
Show BibTex entry
@article{doi:10.1021/acs.jcim.4c01298,
author = {Livas, Charalampos G. and Trikalitis, Pantelis N. and Froudakis, George E.},
title = {MOFSynth: A Computational Tool toward Synthetic Likelihood Predictions of MOFs},
journal = {Journal of Chemical Information and Modeling},
volume = {64},
number = {21},
pages = {8193-8200},
year = {2024},
doi = {10.1021/acs.jcim.4c01298},
note ={PMID: 39481084},
URL = {https://doi.org/10.1021/acs.jcim.4c01298},
eprint = {https://doi.org/10.1021/acs.jcim.4c01298}
}MOFSynth is released under the GNU General Public License v3.0 only.