Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset

8 March 2022

Papers citing "Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset"

9 / 9 papers shown

Title
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
Segmenting mechanically heterogeneous domains via unsupervised learning Quan Nguyen Emma Lejeune AI4CE 18 2 0 30 Aug 2023
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles Yuanzheng Ma Wangting Zhou Rui Ma Sihua Yang Ya-Ming Tang Xun Guan DiffM MedIm 21 3 0 02 May 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 8 46 0 24 Feb 2023
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning J. Mianroodi N. Siboni Dierk Raabe AI4CE 29 2 0 22 Sep 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 18 16 0 29 Jun 2022
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels S. Mohammadzadeh Emma Lejeune AI4CE 23 28 0 24 Jul 2021
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships Wufei Ma E. Kautz Arun Baskaran Aritra Chowdhury V. Joshi B. Yener D. Lewis AI4CE 16 41 0 27 Jul 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018