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Data-Driven Design for Metamaterials and Multiscale Systems: A Review

Data-Driven Design for Metamaterials and Multiscale Systems: A Review

1 July 2023
Doksoo Lee
Wei-Neng Chen
Liwei Wang
Yu-Chin Chan
Wei Chen
    AI4CE
ArXivPDFHTML

Papers citing "Data-Driven Design for Metamaterials and Multiscale Systems: A Review"

13 / 13 papers shown
Title
Reduced-order structure-property linkages for stochastic metamaterials
Reduced-order structure-property linkages for stochastic metamaterials
Hooman Danesh
Maruthi Annamaraju
T. Brepols
Stefanie Reese
Surya R. Kalidindi
19
0
0
02 May 2025
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
Maohua Yan
Ruicheng Wang
Ke Liu
62
1
0
15 Dec 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic
  Chiral Metamaterials
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials
Lingxiao Yuan
Emma Lejeune
Harold S. Park
23
0
0
19 Apr 2024
Generative Inverse Design of Metamaterials with Functional Responses by
  Interpretable Learning
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning
Wei Chen
Rachel Sun
Doksoo Lee
Carlos M. Portela
Wei Chen
AI4CE
21
3
0
08 Dec 2023
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design
  Applications
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications
Cyril Picard
Jürg Schiffmann
Faez Ahmed
22
8
0
15 May 2023
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Hengrui Zhang
WeiWayneChen
Akshay Iyer
D. Apley
Wei-Neng Chen
AI4CE
31
11
0
11 Jul 2022
A Data-Centric Approach for Training Deep Neural Networks with Less Data
A Data-Centric Approach for Training Deep Neural Networks with Less Data
Mohammad Motamedi
Nikolay Sakharnykh
T. Kaldewey
59
66
0
07 Oct 2021
Surface Multigrid via Intrinsic Prolongation
Surface Multigrid via Intrinsic Prolongation
Hsueh-Ti Derek Liu
J. Zhang
M. Ben-Chen
Alec Jacobson
AI4CE
23
32
0
28 Apr 2021
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
489
0
09 Feb 2021
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical
  Response Prediction
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction
Houpu Yao
Yi Gao
Yongming Liu
AI4CE
49
66
0
31 Jan 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
Freeform Diffractive Metagrating Design Based on Generative Adversarial
  Networks
Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks
Jiaqi Jiang
David Sell
Stephan Hoyer
Jason Hickey
Jianji Yang
Jonathan A. Fan
24
221
0
29 Nov 2018
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
1