Data-driven discovery of dimensionless numbers and governing laws from scarce measurements

Autor: Xiaoyu Xie, Arash Samaei, Jiachen Guo, Wing Kam Liu, Zhengtao Gan
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-022-35084-w
Popis: Dimension reduction techniques allow to simplify complex process design and system optimization in various engineering problems. The authors propose here a machine learning approach to discover dominant dimensionless numbers and governing laws from scarce measurement data.
Databáze: Directory of Open Access Journals