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Deep machine learning potentials for multicomponent metallic melts: Development, predictability and compositional transferability

Research article (Journal of Molecular Liquids, 2021) · cited 54× · AI/ML
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Deep machine learning potentials for multicomponent metallic melts: Development, predictability and compositional transferability

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Deep machine learning potentials for multicomponent metallic melts: Development, predictability and compositional transferability is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep machine learning potentials for multicomponent metallic melts: Development, predictability and compositional transferability. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-machine-learning-potentials-for-multicomponent-metallic-melts-development-predictability-and-compositional-transfer
MLA “Deep machine learning potentials for multicomponent metallic melts: Development, predictability and compositional transferability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-machine-learning-potentials-for-multicomponent-metallic-melts-development-predictability-and-compositional-transfer.
BibTeX @misc{4ortxyz_deep-machine-learning-potentials-for-multicomponent-metallic-melts-development-predictability-and-compositional-transfer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep machine learning potentials for multicomponent metallic melts: Development, predictability and compositional transferability}}, year = {2026}, url = {https://4ort.xyz/entity/deep-machine-learning-potentials-for-multicomponent-metallic-melts-development-predictability-and-compositional-transfer}, note = {Accessed: 2026-05-24}}
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