Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems

27 June 2020

Papers citing "Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems"

36 / 36 papers shown

Title
Reduced-order structure-property linkages for stochastic metamaterials Hooman Danesh Maruthi Annamaraju T. Brepols Stefanie Reese Surya R. Kalidindi 22 0 0 02 May 2025
Multi-scale Topology Optimization using Neural Networks Hongrui Chen Xingchen Liu L. Kara AI4CE 76 1 0 21 Feb 2025
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution Maohua Yan Ruicheng Wang Ke Liu 77 1 0 15 Dec 2024
Inverse design of Non-parameterized Ventilated Acoustic Resonator via Variational Autoencoder with Acoustic Response-encoded Latent Space Min Woo Cho Seok Hyeon Hwang Jun-Young Jang Jin Yeong Song S. Hwang Kyoung Je Cha Dong Yong Park Kyungjun Song S. Park 25 1 0 12 Aug 2024
An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units Zihan Wang Anindya Bhaduri Hongyi Xu Liping Wang 37 1 0 19 Jul 2024
Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces Martha Baldwin N. Meisel Christopher McComb AI4CE 44 1 0 10 Jul 2024
Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation Maxine Perroni-Scharf Zachary Ferguson Thomas Butrille Carlos Portela Mina Konaković Luković 39 0 0 29 May 2024
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning Wei Chen Rachel Sun Doksoo Lee Carlos M. Portela Wei Chen AI4CE 33 3 0 08 Dec 2023
Data-Driven Design for Metamaterials and Multiscale Systems: A Review Doksoo Lee Wei Chen Liwei Wang Yu-Chin Chan Wei Chen AI4CE 37 80 0 01 Jul 2023
Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions Martha Baldwin N. Meisel Christopher McComb 26 5 0 13 Jun 2023
Challenges and opportunities for machine learning in multiscale computational modeling Phong C. H. Nguyen Joseph B. Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE 27 8 0 22 Mar 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review Hanxun Jin Enrui Zhang H. Espinosa AI4CE 33 68 0 14 Mar 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 27 46 0 24 Feb 2023
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems Yingzhi Xia Qifeng Liao Jinglai Li 27 2 0 22 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 31 28 0 06 Feb 2023
Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials H. Pahlavani Kostas Tsifoutis-Kazolis P. Mody Jie Zhou M. J. Mirzaali A. A. Zadpoor AI4CE 47 39 0 22 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 39 2 0 01 Dec 2022
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process Hao Zhou Nan Li AI4CE 44 1 0 01 Dec 2022
Topology Optimization via Machine Learning and Deep Learning: A Review S. Shin Dongju Shin Namwoo Kang AI4CE 13 55 0 19 Oct 2022
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network A. Chandrasekhar Amir M. Mirzendehdel M. Behandish K. Suresh 31 29 0 07 May 2022
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning Doksoo Lee Yu-Chin Chan Wei Chen Liwei Wang Anton van Beek Wei Chen AI4CE 18 19 0 21 Feb 2022
Development of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints H. Attar A. Foster Nan Li 29 3 0 04 Feb 2022
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames Lyle Regenwetter Colin Weaver Faez Ahmed AI4CE 37 17 0 25 Jan 2022
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels J. A. Montañez-Barrera J. M. Barroso-Maldonado A. F. Bedoya-Santacruz A. Mota-Babiloni 27 11 0 19 Jan 2022
A deep learning energy method for hyperelasticity and viscoelasticity Diab W. Abueidda S. Koric R. Al-Rub Corey M. Parrott K. James N. Sobh AI4CE 20 59 0 15 Jan 2022
Integrating Material Selection with Design Optimization via Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 27 6 0 23 Dec 2021
Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending Yu-Chin Chan Daicong Da Liwei Wang Wei Chen AI4CE 14 15 0 01 Dec 2021
How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning Zhi Chen Alexander C. Ogren Chiara Daraio L. C. Brinson Cynthia Rudin 14 21 0 10 Nov 2021
A machine learning approach for fighting the curse of dimensionality in global optimization J. Schumann Alejandro M. Aragón 28 2 0 28 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 34 176 0 21 Oct 2021
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors Liwei Wang Suraj Yerramilli Akshay Iyer D. Apley Ping Zhu Wei Chen 43 25 0 26 Jun 2021
De-homogenization using Convolutional Neural Networks M. O. Elingaard N. Aage J. A. Bærentzen Ole Sigmund 21 23 0 10 May 2021
Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains Hengjie Wang R. Planas Aparna Chandramowlishwaran Ramin Bostanabad AI4CE 55 61 0 22 Apr 2021
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis Amin Heyrani Nobari Wei Chen Faez Ahmed GAN AI4CE 19 11 0 10 Mar 2021
IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures Jun Wang Wei Chen Daicong Da M. Fuge R. Rai 33 55 0 03 Mar 2021
An adaptive artificial neural network-based generative design method for layout designs Chaojun Qian Renkai Tan W. Ye AI4CE 17 26 0 29 Jan 2021