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Neural Network-Enhanced Reproducing Kernel Particle Method for Image-Based Multiphysics Damage Modeling of Energy Storage Materials
Kristen Susuki,
Jeffery Allen
, J. Chen
Computational Science
National Renewable Energy Laboratory
University of California, San Diego
Research output
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NREL
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Dive into the research topics of 'Neural Network-Enhanced Reproducing Kernel Particle Method for Image-Based Multiphysics Damage Modeling of Energy Storage Materials'. Together they form a unique fingerprint.
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Engineering
Reproducing Kernel
100%
Energy Storage
100%
Damage Model
50%
Crack Propagation
50%
Material Microstructure
50%
Engineering
25%
Mechanical Model
25%
Anisotropic
25%
Material Interface
25%
Crack Opening
25%
Computational Expense
25%
Mechanical Coupling
25%
Numerical Methods
25%
Cohesive Zone Model
25%
Renewable Energy
25%
Finite Element Analysis
25%
Service Life
25%
Material Science
Energy Storage Material
100%
Particle Method
100%
Crack Propagation
50%
Materials Property
25%
Interface (Material)
25%
Finite Element Methods
25%
Anisotropic Material
25%
Cohesive Zone Model
25%
Grain Boundary
25%