367 citations · 378 across the 6 of their papers we have counts for
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One-Shot Generative Design for Disordered Metamaterials via Self-Organizing Neural Cellular Automata
Yujie Xiang, Liwei Wang
Disordered metamaterials feature microstructures with inherent randomness and irregularity, enabling them to achieve broader property coverage and superior performance unavailable…
Data-Driven Topology Optimization for Multiscale Biomimetic Spinodal Design
Shiguang Deng, Doksoo Lee, Aaditya Chandrasekhar +4
Spinodoid architected materials have drawn significant attention due to their unique nature in stochasticity, aperiodicity, and bi-continuity. Compared to classic periodic truss-,…
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Doksoo Lee, Wei Wayne Chen, Liwei Wang +2
Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature. Composed of unit cells with rich designability that a…
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…
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Liwei Wang, Yu-Chin Chan, Faez Ahmed +3
Metamaterials are emerging as a new paradigmatic material system to render unprecedented and tailorable properties for a wide variety of engineering applications. However, the inve…
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…