Learning slosh dynamics by means of data
Work
Year: 2019
Type: article
Source: Computational Mechanics
Cites: 44
Cited by: 39
Related to: 10
FWCI: 2.993
Citation percentile (by year/subfield): 99.99
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green
Grant ID DPI2015-72365-EXP