Machine learning for shock compression of solids using scarce data
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Applied Physics"
DOI: 10.1063/5.0146296
Abstract: Data-driven machine learning techniques can be useful for the rapid evaluation of material properties in extreme environments, particularly in cases where direct access to the materials is not possible. Such problems occur in high-throughput material… read more here.
Keywords: machine; scarce data; shock compression; machine learning ... See more keywords