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Title: A hybrid point-particle force model that combines physical and data-driven approaches

Abstract

Not provided.

Authors:
ORCiD logo; ORCiD logo;
Publication Date:
Research Org.:
Univ. of Florida, Gainesville, FL (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1614516
DOE Contract Number:  
NA0002378
Resource Type:
Journal Article
Journal Name:
Journal of Computational Physics
Additional Journal Information:
Journal Volume: 385; Journal Issue: C; Journal ID: ISSN 0021-9991
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
Computer Science; Physics

Citation Formats

Moore, W. C., Balachandar, S., and Akiki, G. A hybrid point-particle force model that combines physical and data-driven approaches. United States: N. p., 2019. Web. doi:10.1016/j.jcp.2019.01.053.
Moore, W. C., Balachandar, S., & Akiki, G. A hybrid point-particle force model that combines physical and data-driven approaches. United States. doi:10.1016/j.jcp.2019.01.053.
Moore, W. C., Balachandar, S., and Akiki, G. Wed . "A hybrid point-particle force model that combines physical and data-driven approaches". United States. doi:10.1016/j.jcp.2019.01.053.
@article{osti_1614516,
title = {A hybrid point-particle force model that combines physical and data-driven approaches},
author = {Moore, W. C. and Balachandar, S. and Akiki, G.},
abstractNote = {Not provided.},
doi = {10.1016/j.jcp.2019.01.053},
journal = {Journal of Computational Physics},
issn = {0021-9991},
number = C,
volume = 385,
place = {United States},
year = {2019},
month = {5}
}