A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys

D Khatamsaz, R Neuberger, AM Roy… - npj Computational …, 2023 - nature.com
The design of materials and identification of optimal processing parameters constitute a
complex and challenging task, necessitating efficient utilization of available data. Bayesian …

[图书][B] Advanced reduced order methods and applications in computational fluid dynamics

G Rozza, G Stabile, F Ballarin - 2022 - SIAM
Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …

Dynamic Exploration–Exploitation Pareto Approach for high-dimensional expensive black-box optimization

N Nezami, H Anahideh - Computers & Operations Research, 2024 - Elsevier
Surrogate Optimization (SO) plays a vital role in optimizing performance parameters for
computationally expensive simulations. However, SO encounters significant challenges in …

Multi-Objective Bayesian Optimization using an Active Subspace-based Approach

D Khatamsaz, DL Allaire - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-2203. vid Multi-objective
optimization is often a difficult task owing to the need to balance competing objectives …

Semi-Autonomous Problem Formulation Space Search for High Dimensional Multiobjective Optimization

J Wagner, D Khatamsaz, DL Allaire - AIAA AVIATION 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-4260. vid In many design settings,
the number of quantities of interest under consideration is more than the usual two or three …