Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence

Research article (npj Computational Materials, 2018) · cited 22× · AI/ML
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Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence

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Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence. Retrieved May 24, 2026, from https://4ort.xyz/entity/reconstructing-phase-diagrams-from-local-measurements-via-gaussian-processes-mapping-the-temperature-composition-space-t
MLA “Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reconstructing-phase-diagrams-from-local-measurements-via-gaussian-processes-mapping-the-temperature-composition-space-t.
BibTeX @misc{4ortxyz_reconstructing-phase-diagrams-from-local-measurements-via-gaussian-processes-mapping-the-temperature-composition-space-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence}}, year = {2026}, url = {https://4ort.xyz/entity/reconstructing-phase-diagrams-from-local-measurements-via-gaussian-processes-mapping-the-temperature-composition-space-t}, note = {Accessed: 2026-05-24}}
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