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Uncertainty quantification for deep learning in particle accelerator applications

Research article (Physical Review Accelerators and Beams, 2021) · cited 25× · AI/ML
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Uncertainty quantification for deep learning in particle accelerator applications

Summary

Uncertainty quantification for deep learning in particle accelerator applications is a scholarly article[1].

Key Facts

  • Uncertainty quantification for deep learning in particle accelerator applications's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Uncertainty quantification for deep learning in particle accelerator applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncertainty-quantification-for-deep-learning-in-particle-accelerator-applications
MLA “Uncertainty quantification for deep learning in particle accelerator applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncertainty-quantification-for-deep-learning-in-particle-accelerator-applications.
BibTeX @misc{4ortxyz_uncertainty-quantification-for-deep-learning-in-particle-accelerator-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Uncertainty quantification for deep learning in particle accelerator applications}}, year = {2026}, url = {https://4ort.xyz/entity/uncertainty-quantification-for-deep-learning-in-particle-accelerator-applications}, note = {Accessed: 2026-05-24}}
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