This project shows how the ensemble learning and iterative training (ELIT) framework can be used for iteratively adapting model(s) trained on simulated data to real-world experimental images.
Publication: A. Ghosh, A., B.G. Sumpter, B.G., O. Dyck, O., S. V. Kalinin and M. Ziatdinov. Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy. npj Comput Mater 7, 100 (2021). (https://doi.org/10.1038/s41524-021-00569-7)