The question of how methods from the field of artificial intelligence can help improve the
conventional frameworks for topology optimisation has received increasing attention over …

The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …

This research focuses on the multiscale topology optimization (TO) of structures to meet
stress, stability, and vibration requirements. The compliance minimization problems of …

Topology optimization (TO), a numerical technique to find the optimal material layout with a
given design domain, has attracted interest from researchers in the field of structural …

In the context of mechanical engineering design, the field of machine learning accelerated
topology optimization is dominated by image-based models trained in a supervised manner …

Isogeometric analysis has been widely applied in topology optimization in recent years, and
various methods have been derived. However, most methods are accompanied by …

Stability is a critical factor in structural design. Although buckling-constrained topology
optimization has been investigated in previous work, the problem has not been considered …

Topology optimization holds great significance as a research topic in the field of mechanical
engineering, aiming to design and optimize structures to achieve desired performance while …

Additive manufacturing (AM) and topology optimization (TO) emerge as vital processes in
modern industries, with broad adoption driven by reduced expenses and the desire for …

Explicit topology optimization method is attracting more and more attention in recent years
due to its obvious advantages. Among them, the most vigorous explicit topology optimization …