Tasks such as analysis, design optimization, and uncertainty quantification can be
computationally expensive. Surrogate modeling is often the tool of choice for reducing the …

Bayesian Optimization (BO) has emerged as a powerful framework to efficiently explore and
exploit materials design spaces. To date, most BO approaches to materials design have …

The design of alloys for use in gas turbine engine blades is a complex task that involves
balancing multiple objectives and constraints. Candidate alloys must be ductile at room …

Materials design calls for an optimal exploration and exploitation of the process-structure-
property (PSP) relationships to produce materials with targeted properties. Recently, we …

Resided at the intersection of multi-fidelity optimization (MFO) and Bayesian optimization
(BO), MF BO has found a niche in solving expensive engineering design optimization …

This paper presents a framework for adaptive fuzzy control and optimization of nonlinear
systems subject to uncertainties and disturbances. The barrier Lyapunov function (BLF) …

Airfoil design based on Bayesian optimization generally involves high-fidelity simulations,
whose crux in terms of efficiency has always challenged existing optimization frameworks …

Optimization for different tasks like material characterization, synthesis, and functional
properties for desired applications over multi-dimensional control parameter and function …

Resource management in engineering design seeks to optimally allocate while maximizing
the performance metrics of the final design. Bayesian optimization (BO) is an efficient design …

Optimization is a process of minimizing or maximizing a given objective function under
specified constraints. In multi-objective optimization (MOO), multiple conflicting functions are …