Input-convex neural networks in elementary polynomials of signed singular values provably approximate any frame-indifferent isotropic polyconvex hyperelastic energy.
Title resolution pending
1 Pith paper cite this work, alongside 144 external citations. Polarity classification is still indexing.
1
Pith paper citing it
144
external citations · OpenAlex
fields
cs.CE 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies
Input-convex neural networks in elementary polynomials of signed singular values provably approximate any frame-indifferent isotropic polyconvex hyperelastic energy.