LSMO Synthesis Condition Finder

Optimize your synthesis conditions

1. Generate a maximally diverse set of conditions
2. Evolve the set of conditions based on experimentally determined fitness (using a genetic algorithm)
3. Determine importance of synthesis variables

Use SyCoFinder

• Watch the youtube tutorial
• Try it live

Run SyCoFinder locally (for development)

pip install -e .
python run.py
# open http://0.0.0.0:8050/

Run inside docker container (for deployment)

./build-docker.sh
./run-docker.sh
# open http://localhost:8050

Citing SyCoFinder

If your scientific work has benefited from the use of SyCoFinder, please consider an acknowledgement through the following citation

• Seyed Mohamad Moosavi, Arunraj Chidambaram, Leopold Talirz, Maciej Haranczyk, Kyriakos C. Stylianou, Berend Smit. Nat. Commun. doi: 10.1038/s41467-019-08483-9
• Talirz, L., Moosavi, S. M. SyCoFinder (2019).

Contact

For information concerning SyCoFinder, please contact [email protected] or open an issue.