Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

Research article (Journal of Computational Physics, 2023) · cited 369× · AI/ML
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Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

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Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncertainty-quantification-in-scientific-machine-learning-methods-metrics-and-comparisons
MLA “Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncertainty-quantification-in-scientific-machine-learning-methods-metrics-and-comparisons.
BibTeX @misc{4ortxyz_uncertainty-quantification-in-scientific-machine-learning-methods-metrics-and-comparisons_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons}}, year = {2026}, url = {https://4ort.xyz/entity/uncertainty-quantification-in-scientific-machine-learning-methods-metrics-and-comparisons}, note = {Accessed: 2026-05-24}}
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