Work

Machine Learning Neutrino-Nucleus Cross Sections

Year: 2025

Type: report

Abstract: Consider:

DOI: 10.2172/3376875

Author: Dan Hackett

Institution: Fermi National Accelerator Laboratory

Language: English

Topic: Neutrino Physics Research

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Funders: U.S. Department of Energy, China Scholarship Council, Office of Science, Advanced Scientific Computing Research, High Energy Physics, Fermilab

Awards: G2011917337, G2376186588, G4845049930, G5211103837, G5574724152, G6471802762, G6992476341

OpenAlex ID: W4405765758

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