Abstract: The complex topological characteristics of network-like structural systems, such as lattice structures, cellular metamaterials, and mass transport networks, pose a great challenge for uncertainty qualification (UQ). Various ...

Abstract: In this paper, we propose and compare two novel deep generative model-based approaches for the design representation, reconstruction, and generation of porous metamaterials characterized by complex and fully connected solid ...

Abstract: Designing 3D porous metamaterial units while ensuring complete connectivity of both solid and pore phases presents a significant challenge. This complete connectivity is crucial for manufacturability and structure-fluid ...

Abstract: AbstractNonferrous metal smelting enterprises generate large volumes of sulfuric acid (H2SO4) wastewater annually, which contains chloride (Cl−), fluoride (F−), arsenic, and heavy metal impurities. Currently, recycling has ...

Abstract: Abstract. Many real-world optimization problems in scientific discovery and engineering design optimization involve multiple design evaluation sources, such as simulators, experiments, or manufacturing sites, operate ...

Abstract: Abstract. Bayesian optimization (BO) is a widely used framework for optimizing expensive black-box functions and has found applications across engineering, materials science, and machine learning. However, in many practical ...

Abstract: Phononic bandgap metamaterials, which consist of periodic cellular structures, are capable of absorbing energy within a certain frequency range. Designing metamaterials that trap waves across a wide wave frequency range ...