Berressem, F. und Nikoubashman, A. (2023) Coarse-graining and inverse design in soft matter via local density-dependent potentials and machine learning methods [cd]. Johannes Gutenberg-Universität Mainz. doi:10.25358/openscience-9497.
Chicago Manual of Style 17th edition (full note)Berressem, Fabian, und Arash Nikoubashman. „Coarse-graining and inverse design in soft matter via local density-dependent potentials and machine learning methods“. Cd. Johannes Gutenberg-Universität Mainz, [2023?], Johannes Gutenberg-Universität Mainz, [2023?]. https://doi.org/10.25358/openscience-9497.
American Psychological Association 7th editionBerressem, F., & Nikoubashman, A. (ca. 2023). Coarse-graining and inverse design in soft matter via local density-dependent potentials and machine learning methods [Johannes Gutenberg-Universität Mainz; Cd]. https://doi.org/10.25358/openscience-9497
Modern Language Association 9th editionBerressem, F., und A. Nikoubashman. Coarse-graining and inverse design in soft matter via local density-dependent potentials and machine learning methods. cd, Johannes Gutenberg-Universität Mainz, 2023, https://doi.org/10.25358/openscience-9497.
ISO-690 (author-date, Deutsch)BERRESSEM, Fabian und Arash NIKOUBASHMAN, 2023. Coarse-graining and inverse design in soft matter via local density-dependent potentials and machine learning methods. Mainz: Johannes Gutenberg-Universität Mainz