A material's energy law can be recovered uniquely from boundary energy measurements whenever the loading set separates candidate laws, and maxout neural networks provide provably convergent approximations.
3d observations provide striking findings in rubber elasticity
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A well-posed variational approach to the identification and convergent approximation of material laws from boundary data
A material's energy law can be recovered uniquely from boundary energy measurements whenever the loading set separates candidate laws, and maxout neural networks provide provably convergent approximations.