\(\mathrm{U}^p\)-net: a generic deep learning-based time stepper for parameterized spatio-temporal dynamics
DOI10.1007/s00466-023-02295-xzbMath1521.74436OpenAlexW4360828032MaRDI QIDQ6159312
Hendrik Geisler, Merten Stender, Amin Chabchoub, Norbert Hoffmann, Alexander Schlaefer, Jakob Ohlsen
Publication date: 1 June 2023
Published in: Computational Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00466-023-02295-x
time integrationtwo-dimensional wave equationmachine learningrepresentation learningtransient heat equationsensor data fusionblack-box end-to-end learningencoder-decoder architecture
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Thermal effects in solid mechanics (74F05) Waves in solid mechanics (74J99) Numerical and other methods in solid mechanics (74S99)
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