This tool takes a crystal structure and predicts the oxidation state for each metal site. Note that
In addition to the oxidation state predictions, we also output
More information about this tool can be found in the preprint on Chemrxiv (DOI: 10.26434/chemrxiv.11604129.v1). Note that this tool is in development.
This work is supported by the European Research Council (ERC) Advanced Grant (Agreement No.666983, MaGic) and the computing facilities of SCITAS, EPFL.
In our program, we use the following libraries, please also consider acknowledging them:
For training of the models, we used the data deposited in the Cambridge Structural Database (CSD), the following references describe the MOF subset and the CSD in general.
If you use this tool, please cite the preprint on Chemrxiv (DOI: 10.26434/chemrxiv.11604129.v1).
For many metal centers you might need to run the oximachinerunner on your own machine if you run into a timeout with this web app.
By default we use a crude approximation of the feature importance to give you fast results. If you care more about feature importance, you can choose to not approximate the SHAP value.[?]
Note: if you want to use the code on your computer, you can download the Python code from our Github repo. You can also find pre-built Docker images for this web app on GitHub. Latest release: v0.7.2. In case of problems, report an issue on GitHub