Recent advancements in computational inverse-design approaches—algorithmic
techniques for discovering optical structures based on desired functional characteristics …

Abstract Machine learning, as a study of algorithms that automate prediction and decision‐
making based on complex data, has become one of the most effective tools in the study of …

This review paper provides an overview of different level-set methods for structural topology
optimization. Level-set methods can be categorized with respect to the level-set-function …

In the context of structural optimization we propose a new numerical method based on a
combination of the classical shape derivative and of the level-set method for front …

Environmental problems, especially climate change, have become a serious global issue
waiting for people to solve. In the construction industry, the concept of sustainable building is …

We propose a new framework for the two-and three-dimensional topology optimization (TO)
of the weakly-coupled fluid–structure system. The proposed design methodology uses a …

We present a topology optimization approach for the design of fluid-to-fluid heat exchangers
which rests on an explicit meshed discretization of the phases at stake, at every iteration of …

A numerical coupling of two recent methods in shape and topology optimization of structures
is proposed. On the one hand, the level set method, based on the classical shape derivative …

The level-set method has been recently introduced in the field of shape optimization,
enabling a smooth representation of the boundaries on a fixed mesh and therefore leading …

The aim of this paper is to investigate the use of topological derivatives in combination with
the level set method for shape reconstruction and optimization problems. We propose a new …