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Machine learning based non-Newtonian fluid model with molecular fidelity
v1v2 (latest)

Machine learning based non-Newtonian fluid model with molecular fidelity

Physical Review E (PRE), 2020
7 March 2020
H. Lei
Lei Wu
E. Weinan
ArXiv (abs)PDFHTML

Papers citing "Machine learning based non-Newtonian fluid model with molecular fidelity"

4 / 4 papers shown
Learning Domain-Independent Green's Function For Elliptic Partial
  Differential Equations
Learning Domain-Independent Green's Function For Elliptic Partial Differential Equations
Pawan Negi
Maggie Cheng
Mahesh Krishnamurthy
Wenjun Ying
Shuwang Li
283
7
0
30 Jan 2024
Approximation of nearly-periodic symplectic maps via
  structure-preserving neural networks
Approximation of nearly-periodic symplectic maps via structure-preserving neural networksScientific Reports (Sci Rep), 2022
Valentin Duruisseaux
J. Burby
Q. Tang
360
14
0
11 Oct 2022
Learning Thermodynamically Stable and Galilean Invariant Partial
  Differential Equations for Non-equilibrium Flows
Learning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows
Juntao Huang
Zhiting Ma
Y. Zhou
W. Yong
AI4CE
305
17
0
28 Sep 2020
Integrating Machine Learning with Physics-Based Modeling
Integrating Machine Learning with Physics-Based Modeling
E. Weinan
Jiequn Han
Linfeng Zhang
PINNAI4CE
250
26
0
04 Jun 2020
1
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