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pro vyhledávání: '"Bruer, Grant"'
Monitoring carbon dioxide (CO2) injected and stored in subsurface reservoirs is critical for avoiding failure scenarios and enables real-time optimization of CO2 injection rates. Sequential Bayesian data assimilation (DA) is a statistical method for
Externí odkaz:
http://arxiv.org/abs/2409.05193
Autor:
Bruer, Grant, Isaac, Tobin
We examine the prospect of learning ice sheet damage models from observational data. Our approach, implemented in CRIKit (the Constitutive Relation Inference Toolkit), is to model the material time derivative of damage as a frame-invariant neural net
Externí odkaz:
http://arxiv.org/abs/2204.09748