Work

Machine learning selection of differential and integral experiments to optimally reduce nuclear data uncertainties [Slides]

Year: 2024

Type: conference-paper

Abstract: not provided.

DOI: 10.2172/2537831

Author: None None

Language: English

Topic: Nuclear reactor physics and engineering

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Funders: U.S. Department of Energy, National Nuclear Security Administration, Laboratory Directed Research and Development, Los Alamos National Laboratory

OpenAlex ID: W4408861100

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