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Learning nonlocal constitutive models with neural networks
Xu Hui Zhou, Jiequn Han, Heng Xiao
Mathematics
Research output
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Contribution to journal
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Article
›
peer-review
17
Scopus citations
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Dive into the research topics of 'Learning nonlocal constitutive models with neural networks'. Together they form a unique fingerprint.
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Mathematics
Constitutive Model
100%
Neural Networks
68%
Learning
65%
Reynolds Stress
23%
Closure
23%
Partial differential equation
21%
Computational Mechanics
20%
Strain Rate
19%
Constitutive Relations
18%
Formal Solutions
18%
Turbulent Flow
17%
Transport Equation
15%
Model
14%
Algebraic Equation
13%
Convolution
11%
Physics
11%
Fluid
11%
Exact Solution
11%
Numerical Experiment
10%
Alternatives
8%
Range of data
8%
Demonstrate
8%
Engineering & Materials Science
Constitutive models
72%
Neural networks
43%
Partial differential equations
28%
Computational mechanics
20%
Turbulent flow
14%
Convolution
14%
Strain rate
13%
Physics
12%
Fluids
9%
Experiments
5%
Physics & Astronomy
learning
78%
closures
20%
partial differential equations
20%
computational mechanics
16%
Reynolds stress
11%
convolution integrals
10%
turbulent flow
9%
strain rate
8%
physics
6%
fluids
6%