Due to its easy implementation and comprehensive applicability, surrogate model has been
widely used in the aerodynamic design optimization (ADO) of turbomachinery blades …

Industrial applications frequently pose a notorious challenge for state-of-the-art methods in
the contexts of optimization, designing experiments and modeling unknown physical …

Studies on performance impact due to the high-dimensional geometric uncertainties face the
“curse of dimensionality” problem, making the cost of uncertainty quantification (UQ) …

In recent years, multi-agent deep reinforcement learning has progressed rapidly as reflected
by its increasing adoptions in industrial applications. This paper proposes a Guided …

All-solid-state batteries are claimed to be the next-generation battery system, in view of their
safety accompanied by high energy densities. A new advanced, multiscale compatible, and …

View Video Presentation: https://doi. org/10.2514/6.2021-0465. vid An inverse design
process has the potential to positively impact the difficulties of the traditional iterative …

Stochastic variations of the operation conditions and the resultant variations of the
aerodynamic performance in Low-Pressure Turbine (LPT) can often be found. This paper …

Inverse problems pose a painfully complex task when the forward model is a
computationally expensive noisy black-box. This not only limits the number of times the …

Bayesian optimization (BO) is a flexible and powerful framework that is suitable for
computationally expensive simulation-based applications and guarantees statistical …

Industrial dynamical systems often exhibit multi-scale responses due to material
heterogeneity and complex operation conditions. The smallest length-scale of the systems …