Supplementary material for the publication: "Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties"

Supplementary material for the publication: "Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties"

This dataset contains supplementary code, images and models for the publication „Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties“.   The content will be updated and additionally linked to the corresponding git repositories....

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Bibliographische Detailangaben
Hauptverfasser: Sandfeld, Stefan, Nguyen, Binh Duong, Potapenko, Pavlo, Demirci, Aytekin, Govind, Kishan, Bompas, Sébastien
Format: Dataset
Sprache:eng
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Beschreibung
Zusammenfassung:This dataset contains supplementary code, images and models for the publication „Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties“.   The content will be updated and additionally linked to the corresponding git repositories.
DOI:10.5281/zenodo.10821846