Uncertainty quantification of phase boundary in a composition-phase map via Bayesian strategies-Reference-Cited by-同舟云学术

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Uncertainty quantification of phase boundary in a composition-phase map via Bayesian strategies

Published:2023-02-13 Issue:2 Volume:7 Page:
ISSN:2475-9953
Container-title:Physical Review Materials
language:en
Short-container-title:Phys. Rev. Materials

Author:

Wu Biao^ORCID,Zhang Haihui,Zhou Yuanxun^ORCID,Zhang Lanting^ORCID,Wang Hong

Funder

National Key Research and Development Program of China

Major Science and Technology Projects in Yunnan Province

Genome Engineering of Rare and Precious Metal Materials in Yunnan Province

Publisher

American Physical Society (APS)

Subject

Physics and Astronomy (miscellaneous),General Materials Science

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevMaterials.7.025201/fulltext

Reference40 articles.

1. Phase Diagrams: The Beginning of Wisdom

2. A brief history of CALPHAD

3. Rapid Method for Determining Ternary‐Alloy Phase Diagrams

4. Evaluation of the Current Status of the Combinatorial Approach for the Study of Phase Diagrams

5. Rapid structural mapping of ternary metallic alloy systems using the combinatorial approach and cluster analysis

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1. Efficient thermodynamic model optimization and uncertainty quantification via integration of combinatorial materials chip and Bayesian approach;Scripta Materialia;2024-04

2. Efficient thermodynamic modelling with uncertainty quantification of the Ag–Cu–Co system from its sub-binary systems;Materials Chemistry and Physics;2023-10

3. Estimating the temperature dependent zero-phase-fraction features in ternary phase diagram via Bayesian approach;Scripta Materialia;2023-10

4. Predictive Synthesis of Copper Selenides Using a Multidimensional Phase Map Constructed with a Data-Driven Classifier;Journal of the American Chemical Society;2023-08-04

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