Bayesian optimization has emerged at the forefront of expensive black-box optimization due
to its data efficiency. Recent years have witnessed a proliferation of studies on the …

Microgrids are integral to modern energy systems, yet they face substantial challenges in
integrating diverse components, managing complex dynamics, and ensuring stability amid …

The thin-walled lenticular deployable composite boom (LDCB) is promising for aerospace
engineering applications due to its lightweight and compact nature, but its mechanical …

Excessive nitrogen and phosphorus in wastewater can cause eutrophication, threatening
ecology and human health. Wastewater Treatment Plants (WWTPs) are crucial for reducing …

Abstract High-efficiency Fe–Si alloy sheets have recently gained increasing attention in the
automobile industry, and these sheets must be coated with insulation to reduce energy loss …

Rapid and accurate performance acquisition of high-temperature gas turbine blades is
fundamental to energy system design, analysis, and evaluation. Data-driven surrogate …

This research aims to establish a systematic framework for parametric identification of
materials undergoing high temperatures and high strain rates. While advanced testing …

Accurately measuring the three-dimensional flow field characteristics in complex flow fields,
particularly in turbomachines, is of utmost importance and is commonly achieved through …

The global supply chain has garnered significant attention in recent years due to its intricate
nature and operational challenges. Companies face the crucial task of integrating various …

Multi-objective stochastic simulation optimization plays an important role in designing
complex engineering systems. To identify optimal solutions via simulations, Bayesian …