ExCorr is based on a collaborative project between Helmholtz-Zentrum Hereon, Monash University, CSIRO, TU Delft, and University of Science and Technology Beijing. Aside from a review article that deals with the impact of automation, computational models, and inhibition mechanisms on the discovery of organic corrosion inhibitors, the project involves the development of a solid database for corrosion experiments that can act as foundation for building machine learning models that predict the corrosion inhibition performance of small organic molecules.

The database will be continuously updated and expanded with new data from the community. For instructions on how to explore the database, use the data, or contribute new experimental data, please refer to the documentation. If you have any questions regarding the project, please contact one of the team members below.