Informing Combinatorial Exploration of Compositionally Complex Alloys

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Authors

Y.X. Wu · Sustainable Development Institute

Abstract

Pinned v1.0.1 release for the integrated CALPHAD, solid-solution strengthening, and multitask machine learning workflow for informing combinatorial exploration of compositionally complex alloys. This release fixes the repository and submodule states for reproducibility, archival, and citation. Pinned submodule revisions: CCA_representation_ML@ca80c7f3a2f96ee357e9883fe2e1c5932d777e3e v6_A-B-C-D-E_Sputtering@2a00ee62092ffd746b0aaacb17a4b16195a785e9

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Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19311210

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Informing Combinatorial Exploration of Compositionally Complex Alloys

Authors

Abstract

Topics & Keywords

Publication Details