Not finding it? Sign in to also search OpenAlex live.
-
Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates31citations
-
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
1citations -
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning2020 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Mario Rüttgers, Seong Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann
7citations -
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access
Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
5citations -
ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Fabian Fröde, Mohamed Gowely, Temistocle Grenga, Jonathan F. MacArt, +2 more
0citations
13 results