367 citations · 712 across the 7 of their papers we have counts for
7 papers
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…
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
Doksoo Lee, Yu-Chin Chan, Wei Wayne Chen +3
Inspired by the recent achievements of machine learning in diverse domains, data-driven metamaterials design has emerged as a compelling paradigm that can unlock the potential of m…
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…
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…
METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design
Yu-Chin Chan, Faez Ahmed, Liwei Wang +1
Data-driven design of mechanical metamaterials is an increasingly popular method to combat costly physical simulations and immense, often intractable, geometrical design spaces. Us…