Deep learning for synthetic microstructure generation in a
materials-by-design framework for heterogeneous energetic materials

Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials

5 April 2020

Stephen Seung-Yeob Baek

Papers citing "Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials"

11 / 11 papers shown

Title
Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function Matias Oscar Volman Stern Dominic Hohs Markos Diomataris Michael J. Black Gerhard Schneider DiffM 37 0 0 01 Aug 2024
NLP for Knowledge Discovery and Information Extraction from Energetics Corpora Francis G. VanGessel Efrem Perry Salil Mohan Oliver M. Barham Mark Cavolowsky 32 0 0 10 Feb 2024
Constrained Synthesis with Projected Diffusion Models Jacob K Christopher Stephen Baek Ferdinando Fioretto DiffM 49 10 0 05 Feb 2024
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data" Kishan Govind D. Oliveros A. Dlouhý M. Legros Stefan Sandfeld 25 8 0 12 Jul 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 22 46 0 24 Feb 2023
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions Joseph B. Choi Phong C. H. Nguyen O. Sen H. Udaykumar Stephen Seung-Yeob Baek PINN AI4CE 26 11 0 15 Nov 2022
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials Phong C. H. Nguyen Y. Nguyen P. Seshadri Joseph B. Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE 16 18 0 08 Nov 2022
Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives Khaled Alrfou Amir Kordijazi Tian Zhao 3DV 34 6 0 29 Jul 2022
PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials Phong C. H. Nguyen Y. Nguyen Joseph B. Choi P. Seshadri H. Udaykumar Stephen Seung-Yeob Baek AI4CE 21 16 0 04 Apr 2022
Overview: Computer vision and machine learning for microstructural characterization and analysis Elizabeth A. Holm R. Cohn Nan Gao Andrew R. Kitahara Thomas P. Matson Bo Lei Srujana Rao Yarasi 26 161 0 28 May 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018