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cs.CE2024
Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization
Susanna Baars, Jigar Parekh, Ihar Antonau +2
The long runtime associated with simulating multidisciplinary systems challenges the use of Bayesian optimization for multidisciplinary design optimization (MDO). This is particula…
physics.flu-dyn2024★ 7 cited
Physics-Informed Neural Networks for Transonic Flows around an Airfoil
Simon Wassing, Stefan Langer, Philipp Bekemeyer
Physics-informed neural networks have gained popularity as a deep-learning based parametric partial differential equation solver. Especially for engineering applications, this appr…