Jonathan Schmidt

According to our database, Jonathan Schmidt authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

AI-Driven Expansion and Application of the Alexandria Database.

Théo Cavignac, Jonathan Schmidt, Pierre-Paul De Breuck, Antoine Loew, Tiago F. T. Cerqueira, Haichen Wang, Anton Bochkarev, Yury Lysogorskiy, Aldo H. Romero, Ralf Drautz, Silvana Botti, Miguel A. L. Marques

CoRR, December, 2025

2022

Machine learning the thermodynamic stability of crystal structures

Jonathan Schmidt

PhD thesis, 2022

Machine learning the derivative discontinuity of density-functional theory.

Johannes Gedeon, Jonathan Schmidt, Matthew J. P. Hodgson, Jack Wetherell, Carlos L. Benavides-Riveros, Miguel A. L. Marques

Mach. Learn. Sci. Technol., 2022

Large-scale machine-learning-assisted exploration of the whole materials space.

Jonathan Schmidt, 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 guided high-throughput search of non-oxide garnets.

Jonathan Schmidt, Haichen Wang, Georg Schmidt, Miguel Marques

CoRR, 2022