Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

Research article (npj Computational Materials, 2023) · cited 81× · AI/ML
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Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

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Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles. Retrieved May 24, 2026, from https://4ort.xyz/entity/single-model-uncertainty-quantification-in-neural-network-potentials-does-not-consistently-outperform-model-ensembles
MLA “Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/single-model-uncertainty-quantification-in-neural-network-potentials-does-not-consistently-outperform-model-ensembles.
BibTeX @misc{4ortxyz_single-model-uncertainty-quantification-in-neural-network-potentials-does-not-consistently-outperform-model-ensembles_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles}}, year = {2026}, url = {https://4ort.xyz/entity/single-model-uncertainty-quantification-in-neural-network-potentials-does-not-consistently-outperform-model-ensembles}, note = {Accessed: 2026-05-24}}
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