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20162026
most citedGaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids

31 citations · 34 across the 5 of their papers we have counts for

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Showing 2022Show all

1 paper · 1 filter

math.NA2022

A probabilistic peridynamic framework with an application to the study of the statistical size effect

Mark Hobbs, Hussein Rappel, Tim Dodwell

Mathematical models are essential for understanding and making predictions about systems arising in nature and engineering. Yet, mathematical models are a simplification of true ph…