CUI, Mengnan, REUTER, Karsten, MARGRAF, Johannes T. und USVYAT, Denis, 2025. Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning. Berlin: Humboldt-Universität zu Berlin.
Elsevier - Harvard (with titles)Cui, M., Reuter, K., Margraf, J.T., Usvyat, D., 2025. Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning. Humboldt-Universität zu Berlin, Berlin. https://doi.org/10.18452/33359
American Psychological Association 7th editionCui, M., Reuter, K., Margraf, J. T., & Usvyat, D. (ca. 2025). Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning [Humboldt-Universität zu Berlin; Cd]. https://doi.org/10.18452/33359
Springer - Basic (author-date)Cui M, Reuter K, Margraf JT, Usvyat D (2025) Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning. Humboldt-Universität zu Berlin
Juristische Zitierweise (Stüber) (Deutsch)Cui, Mengnan/ Reuter, Karsten/ Margraf, Johannes T./ Usvyat, Denis, Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning, Berlin 2025.