This paper proposes a topology optimization method that considers the geometric constraint
of no closed cavities to improve the effectiveness of additive manufacturing based on the …

This paper proposes a self-support topology optimization method that considers distortion to
improve the manufacturability of additive manufacturing. First, a self-support constraint is …

The topological derivative method is recognized as a robust numerical technique in
engineering applications such as topology optimization, inverse problems, imaging …

This paper proposes a level set-based topology optimization method for acoustic
metasurfaces consisting of multiple types of unit cells. As a type of acoustic metasurface, we …

This communication proposes a novel deep learning (DL) approach to solve
electromagnetic inverse scattering (EMIS) problems in inhomogeneous media. The …

Mathematical analysis and numerical solutions of problems with unknown shapes is a
challenging and rich research field in the modern theory of calculus of variations, partial …

Multi-frequency subspace migration imaging techniques are usually adopted for the non-
iterative imaging of unknown electromagnetic targets, such as cracks in concrete walls or …

In this paper, we propose a level set-based topology optimization method for the design of
hyperbolic acoustic metamaterials using a high-frequency homogenization method. To …

In this paper, we propose a level set-based topology optimization method for the unit-cell
design of acoustic metasurfaces by using a two-scale homogenization method. Based on …

This paper presents a structural optimisation method in three-dimensional acoustic–elastic
coupled problems. The proposed optimisation method finds an optimal allocation of elastic …