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An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
Partial Differential Equations (PDE) are fundamental to model different ...
08/27/2019 ∙ by Esteban Samaniego, et al. ∙
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Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
We present a new physics informed neural network (PINN) algorithm for so...
07/04/2019 ∙ by Somdatta Goswami, et al. ∙
11
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Volumetric parametrization from a level set boundary representation with PHT Splines
A challenge in isogeometric analysis is constructing analysis-suitable v...
03/17/2017 ∙ by Chiu Ling Chan, et al. ∙
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