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- W4224259942 abstract "Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Space Weather. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Exploring the potential of neural networks to predict statistics of solar wind turbulenceAuthorsDanielWrenchiDTulasi N.ParashariDRitesh KSinghMarcusFreanRameshRayuduiDSee all authors Daniel WrenchiDCorresponding Author• Submitting AuthorVictoria University of WellingtoniDhttps://orcid.org/0000-0002-7463-3818view email addressThe email was not providedcopy email addressTulasi N. ParashariDVictoria University of WellingtoniDhttps://orcid.org/0000-0003-0602-8381view email addressThe email was not providedcopy email addressRitesh K SinghIndian Institute of Science, Education and Researchview email addressThe email was not providedcopy email addressMarcus FreanVictoria University of Wellingtonview email addressThe email was not providedcopy email addressRamesh RayuduiDVictoria University of WellingtoniDhttps://orcid.org/0000-0001-9290-2447view email addressThe email was not providedcopy email address" @default.
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- W4224259942 date "2022-04-19" @default.
- W4224259942 modified "2023-09-26" @default.
- W4224259942 title "Exploring the potential of neural networks to predict statistics of solar wind turbulence" @default.
- W4224259942 doi "https://doi.org/10.1002/essoar.10511099.1" @default.
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