Methods for comparing uncertainty quantifications for material property predictions
Methods for comparing uncertainty quantifications for material property predictions
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Data science and informatics tools have been proliferating recently within the computational materials science and catalysis fields. This proliferation has spurned the creation of various frameworks for automated materials screening, discovery, and design. Underpinning these frameworks are surrogate models with uncertainty estimates on their predic...
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Methods for comparing uncertainty quantifications for material property predictions
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TN_cdi_proquest_journals_2330252588
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2330252588
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2331-8422
