[HTML][HTML] Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps
N Discacciati, JS Hesthaven - Computer Methods in Applied Mechanics …, 2024 - Elsevier
We propose a local, non-intrusive model order reduction technique to accurately
approximate the solution of coupled multi-component parametrized systems governed by …
approximate the solution of coupled multi-component parametrized systems governed by …
Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations
Stable partitioned techniques for simulating unsteady fluid-structure interaction (FSI) are
known to be computationally expensive when high added-mass is involved. Multiple …
known to be computationally expensive when high added-mass is involved. Multiple …
Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization
S Baars, J Parekh, I Antonau, P Bekemeyer… - arXiv preprint arXiv …, 2024 - arxiv.org
The long runtime associated with simulating multidisciplinary systems challenges the use of
Bayesian optimization for multidisciplinary design optimization (MDO). This is particularly the …
Bayesian optimization for multidisciplinary design optimization (MDO). This is particularly the …
INTEGRATING SCIENTIFIC MACHINE LEARNING WITH PHYSICS-BASED SIMULATION FOR INDUSTRIAL MULTIPHYSICS APPLICATIONS
INTEGRATING SCIENTIFIC MACHINE LEARNING WITH PHYSICS-BASED SIMULATION
FOR INDUSTRIAL MULTIPHYSICS APPLICATIONS Page 1 Digital Twins in Engineering & …
FOR INDUSTRIAL MULTIPHYSICS APPLICATIONS Page 1 Digital Twins in Engineering & …