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Recurrent neural networks as a physics-based self-learning solver to satisfy plane stress viscoplasticity undergoing isotropic damage2024 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks Open access
Saurabh Balkrishna Tandale, Vasileios Polydoras, Marcus Stoffel
3citations -
A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Rasoul Najafi Koopas, +3 more
27citations -
CosmicNet II: emulating extended cosmologies with efficient and accurate neural networks2022 Journal of Cosmology and Astroparticle Physics article Physics and Astronomy Cosmology and Gravitation Theories Open access
Sven Günther, Julien Lesgourgues, Georgios Samaras, Nils Schöneberg, Florian Stadtmann, Christian Fidler, +1 more
34citations -
Fast Computation of Hydrodynamic Pressure in Lubricated Contacts: Which Lp Loss is Most Suitable for Physics-Informed Neural Networks Solving the Reynolds Equation?2024 International Journal of Fluid Power article Physics and Astronomy Model Reduction and Neural Networks Open access
Faras Brumand‐Poor, Nils Plückhahn, Niklas Bauer, Katharina Schmitz
2citations -
Sparcs – combining radiation hydrodynamics with non-equilibrium metal chemistry in the Swift astrophysical code2026 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Astrophysics and Star Formation Studies Open access
T K Chan, Alexander J. Richings, Tom Theuns, Yuankang Liu, Matthieu Schaller, Mladen Ivković
0citations
19 results