Maximizing High-Throughput Discovery and Machine Learning Efficiency Through 
Computational Workflows

Neugebauer, Jörg; Menon, Sarath

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Maximizing High-Throughput Discovery and Machine Learning Efficiency Through Computational Workflows

Neugebauer, J., & Menon, S. (2024). Maximizing High-Throughput Discovery and Machine Learning Efficiency Through Computational Workflows. Talk presented at Machine Learning Modalities for Materials science. Ljubljana, Slovenia. 2024-05-13 - 2024-05-17.

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Genre: Talk

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Creators:
Neugebauer, Jörg¹, Author
Menon, Sarath², Author

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

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Language(s): eng - English

Dates: Created: 2024-05

Publication Status: Not specified

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Title: Machine Learning Modalities for Materials science

Place of Event: Ljubljana, Slovenia

Start-/End Date: 2024-05-13 - 2024-05-17

Invited: Yes

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