Computationally accelerated experimental materials characterization -- drawing 
inspiration from high-throughput simulation workflows

Stricker, Markus; Banko, Lars; Sarazin, Nik; Siemer, Niklas; Neugebauer, Jörg; Ludwig, Alfred

doi:10.48550/ARXIV.2212.04804

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Computationally accelerated experimental materials characterization -- drawing inspiration from high-throughput simulation workflows

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Siemer, Niklas
Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Neugebauer, Jörg
Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Stricker, M., Banko, L., Sarazin, N., Siemer, N., Neugebauer, J., & Ludwig, A. (2022). Computationally accelerated experimental materials characterization -- drawing inspiration from high-throughput simulation workflows. arXiv.

Cite as: https://hdl.handle.net/21.11116/0000-000C-7D1C-A

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