Generative Inverse Design of Metamaterials with Functional Responses by
Interpretable Learning

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

8 December 2023

Carlos M. Portela

Wei Chen

Papers citing "Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning"

8 / 8 papers shown

Title
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution Maohua Yan Ruicheng Wang Ke Liu 119 1 0 15 Dec 2024
How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning Zhi Chen Alexander C. Ogren Chiara Daraio L. C. Brinson Cynthia Rudin 45 21 0 10 Nov 2021
Deep neural networks for the evaluation and design of photonic devices Jiaqi Jiang Ming-Keh Chen Jonathan A. Fan 44 402 0 30 Jun 2020
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems Liwei Wang Yu-Chin Chan Faez Ahmed Zhao Liu Ping Zhu Wei Chen AI4CE 37 215 0 27 Jun 2020
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables Yichi Zhang D. Apley Wei Chen AI4CE 59 214 0 03 Oct 2019
Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks Sunae So J. Rho 39 222 0 20 Mar 2019
A Generative Model for Inverse Design of Metamaterials Zhaocheng Liu Dayu Zhu S. Rodrigues Kyu-Tae Lee W. Cai 50 523 0 25 May 2018
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 339 25,569 0 09 Jun 2011