Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning

Research article (The Journal of Physical Chemistry Letters, 2019) · cited 89× · AI/ML
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Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning

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Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/extracting-an-empirical-intermetallic-hydride-design-principle-from-limited-data-via-interpretable-machine-learning
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BibTeX @misc{4ortxyz_extracting-an-empirical-intermetallic-hydride-design-principle-from-limited-data-via-interpretable-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/extracting-an-empirical-intermetallic-hydride-design-principle-from-limited-data-via-interpretable-machine-learning}, note = {Accessed: 2026-05-24}}
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