Media type: E-Article Title: Lifelong Machine Learning Potentials Contributor: Eckhoff, Marco; Reiher, Markus Published: American Chemical Society (ACS), 2023 Published in: Journal of Chemical Theory and Computation, 19 (2023) 12, Seite 3509-3525 Language: English DOI: 10.1021/acs.jctc.3c00279 ISSN: 1549-9618; 1549-9626 Keywords: Physical and Theoretical Chemistry ; Computer Science Applications Origination: University thesis: Footnote: