Concurrent prediction of metallic glasses’ global energy and internal structural heterogeneity by interpretable machine learning

Research article (Acta Materialia, 2023) · cited 36× · AI/ML
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Concurrent prediction of metallic glasses’ global energy and internal structural heterogeneity by interpretable machine learning

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Concurrent prediction of metallic glasses’ global energy and internal structural heterogeneity by interpretable machine learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Concurrent prediction of metallic glasses’ global energy and internal structural heterogeneity by interpretable machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/concurrent-prediction-of-metallic-glasses-global-energy-and-internal-structural-heterogeneity-by-interpretable-machine-l
MLA “Concurrent prediction of metallic glasses’ global energy and internal structural heterogeneity by interpretable machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/concurrent-prediction-of-metallic-glasses-global-energy-and-internal-structural-heterogeneity-by-interpretable-machine-l.
BibTeX @misc{4ortxyz_concurrent-prediction-of-metallic-glasses-global-energy-and-internal-structural-heterogeneity-by-interpretable-machine-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Concurrent prediction of metallic glasses’ global energy and internal structural heterogeneity by interpretable machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/concurrent-prediction-of-metallic-glasses-global-energy-and-internal-structural-heterogeneity-by-interpretable-machine-l}, note = {Accessed: 2026-05-24}}
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