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most citedDeep convolutional neural network for shape optimization using level-set approach

3 citations · 6 across the 5 of their papers we have counts for

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physics.flu-dyn2022

Assessment of convolutional recurrent autoencoder network for learning wave propagation

Wrik Mallik, Rajeev K. Jaiman, Jasmin Jelovica

It is challenging to construct generalized physical models of wave propagation in nature owing to their complex physics as well as widely varying environmental parameters and dynam…

math.OC2022★ 3 cited

Deep convolutional neural network for shape optimization using level-set approach

Wrik Mallik, Neil Farvolden, Jasmin Jelovica +1

This article presents a reduced-order modeling methodology via deep convolutional neural networks (CNNs) for shape optimization applications. The CNN provides a nonlinear mapping b…