107 citations · 148 across the 6 of their papers we have counts for
6 papers
Enhancing Data-driven Multiscale Topology Optimization with Generalized De-homogenization
Liwei Wang, Zhao Liu, Daicong Da +3
De-homogenization is becoming an effective method to significantly expedite the design of high-resolution multiscale structures, but existing methods have thus far been confined to…
Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending
Yu-Chin Chan, Daicong Da, Liwei Wang +1
To create heterogeneous, multiscale structures with unprecedented functionalities, recent topology optimization approaches design either fully aperiodic systems or functionally gra…
Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design
Liwei Wang, Jagannadh Boddapati, Ke Liu +3
Mechanical cloaks are materials engineered to manipulate the elastic response around objects to make them indistinguishable from their homogeneous surroundings. Typically, methods…
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
Liwei Wang, Suraj Yerramilli, Akshay Iyer +3
Scientific and engineering problems often require the use of artificial intelligence to aid understanding and the search for promising designs. While Gaussian processes (GP) stand…
Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization
Liwei Wang, Anton van Beek, Daicong Da +3
For natural frequency optimization of engineering structures, cellular composites have been shown to possess an edge over solid. However, existing multiscale design methods for cel…
Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process
Liwei Wang, Siyu Tao, Ping Zhu +1
The data-driven approach is emerging as a promising method for the topological design of multiscale structures with greater efficiency. However, existing data-driven methods mostly…