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Accelerating goal-oriented error estimation using neural networks

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Accelerating goal-oriented error estimation using artificial neural networks

This repo emulates the error estimation step for anisotropic goal-oriented mesh adaptation using artificial neural networks.

This is research of the Applied Modelling and Computation Group (AMCG) at Imperial College London.

For feedback, comments and questions, please email j.wallwork16@imperial.ac.uk.

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Accelerating goal-oriented error estimation using neural networks

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python deep-learning neural-network mesh-adaptation error-estimation

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Simulation code for 'E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation' Latest
Jul 8, 2022

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