Machine Learning guided high-throughput search of non-oxide garnets. - Jonathan Schmidt 003; Haichen Wang; Georg Schmidt; Miguel Marques (CoRR, 2022)

Large-scale machine-learning-assisted exploration of the whole materials space. - Jonathan Schmidt 003; Noah Hoffmann; Haichen Wang; Pedro Borlido; Pedro J. M. A. Carriço; Tiago F. T. Cerqueira; Silvana Botti; Miguel A. L. Marques (CoRR, 2022)

Machine learning the derivative discontinuity of density-functional theory. - Johannes Gedeon; Jonathan Schmidt 003; Matthew J. P. Hodgson; Jack Wetherell; Carlos L. Benavides-Riveros; Miguel A. L. Marques (Mach. Learn. Sci. Technol., 2022)

Machine learning the thermodynamic stability of crystal structures - Jonathan Schmidt 003 (2022)