Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys

Research article (Materials & Design, 2022) · cited 18× · AI/ML
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Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys

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Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys is a scholarly article[1].

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  • Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-correlated-with-phenomenological-mode-unlocks-the-vast-compositional-space-of-eutectics-of-multi-princi
MLA “Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-correlated-with-phenomenological-mode-unlocks-the-vast-compositional-space-of-eutectics-of-multi-princi.
BibTeX @misc{4ortxyz_machine-learning-correlated-with-phenomenological-mode-unlocks-the-vast-compositional-space-of-eutectics-of-multi-princi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning correlated with phenomenological mode unlocks the vast compositional space of eutectics of multi-principal element alloys}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-correlated-with-phenomenological-mode-unlocks-the-vast-compositional-space-of-eutectics-of-multi-princi}, note = {Accessed: 2026-05-24}}
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