A neural network learns parameter-dependent viscosity models for ice that satisfy physical invariants and generalize from velocity or stress data.
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Learning parameter-dependent shear viscosity from data, with application to sea and land ice
A neural network learns parameter-dependent viscosity models for ice that satisfy physical invariants and generalize from velocity or stress data.