This study provides a review of recent progress on designs, properties, and mechanisms of
surface texturing and solid lubricants. Firstly, the design and processing of surface texture …

Designing building structures presents various challenges, including inefficient design
processes, limited data reuse, and the underutilization of previous design experience …

A machine-learning assisted topology optimization approach is proposed for architectural
design with artistic flavor. This work establishes a novel framework to systematically …

High-resolution structural topology optimization is extremely challenging due to a large
number of degrees of freedom (DoFs). In this work, a Convolution-Hierarchical Deep …

We propose a novel approach for tackling scientific problems governed by differential
equations, based on the concept of a physics-informed neural networks (PINNs). The …

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 …

An efficient concurrent topology optimization method based on the Extended Multiscale
Finite Element Method (EMsFEM) is proposed to design the hierarchical structure with …

With the increasingly stringent functional requirement of advanced equipment, it is crucial to
design materials and structures with special properties. Improving optimization efficiency …

Structural analysis for structures composed of highly heterogeneous materials which often
involves the solution of large-scale linear algebraic equations is very time-consuming even …

With the continuous improvement of structural performance requirements of advanced
equipment, the multiscale design of materials and structures is increasingly developing …