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Multiphysics Degradation Modeling of Energy Storage Materials via RKPM with a Neural Network-Enhancement
Kristen Susuki, J.S. Chen,
Jeff Allen
Computational Science
University of California, San Diego
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NREL
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Dive into the research topics of 'Multiphysics Degradation Modeling of Energy Storage Materials via RKPM with a Neural Network-Enhancement'. Together they form a unique fingerprint.
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Engineering
Reproducing Kernel
100%
Energy Storage
100%
Engineering
28%
Material Microstructure
28%
Damage Model
14%
Anisotropic
14%
Crack Propagation
14%
Lithium Ion Battery
14%
Block Level
14%
Brittle Fracture
14%
Mechanical Coupling
14%
Numerical Methods
14%
Applied Mechanics
14%
Renewable Energy
14%
Numerical Analysis
14%
Service Life
14%
Computer Programs
14%
Discretization
14%
Patch Test
14%
Material Science
Energy Storage Material
100%
Particle Method
100%
Cathode
16%
Lithium Ion Battery
16%
Anisotropic Material
16%
Crack Propagation
16%
Materials Property
16%
Brittle Fracture
16%
Applied Mechanics
16%
Chemical Engineering
Neural Network
100%