Automated design of nonreciprocal thermal emitters via Bayesian optimization
Nonreciprocal thermal emitters that break Kirchhoff's law of thermal radiation promise
exciting applications for thermal and energy applications. The design of the bandwidth and …
exciting applications for thermal and energy applications. The design of the bandwidth and …
Multi-fidelity machine learning for uncertainty quantification and optimization
R Zhang, N Alemazkoor - Journal of Machine Learning for …, 2024 - dl.begellhouse.com
In system analysis and design optimization, multiple computational models are typically
available to represent a given physical system. These models can be broadly classified as …
available to represent a given physical system. These models can be broadly classified as …
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 …