Materials design based on efficient sampling of high dimensional chemical and 
thermodynamic configuration spaces

Neugebauer, Jörg; Ikeda, Yuji; Körmann, Fritz

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Materials design based on efficient sampling of high dimensional chemical and thermodynamic configuration spaces

Neugebauer, J., Ikeda, Y., & Körmann, F. (2021). Materials design based on efficient sampling of high dimensional chemical and thermodynamic configuration spaces. Talk presented at Workflows for Atomistic Simulations, Ruhr-Universität Bochum, Online Meeting. Bochum, Germany. 2021-03-10 - 2021-03-12.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0008-9FDB-F Versions-Permalink: https://hdl.handle.net/21.11116/0000-0009-5D45-2

Genre: Vortrag

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Urheber:
Neugebauer, Jörg¹, Autor
Ikeda, Yuji¹, Autor
Körmann, Fritz², Autor

Affiliations:
1Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863337
2Computational Phase Studies, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863341