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. 2023 Jul 24;14:4440. doi: 10.1038/s41467-023-40192-2

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — Top panel: training and validation loss as a function of epoch number. Bottom panel: mean and standard deviation (circular markers and error bars, respectively) of the CNN predictions on the test set. The number of distinct values of momentum to predict is equal to the number of dots in the grid of Fig. 2a and adds up to 36.