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2010.03675
Cited By

Predicting Mechanical Properties from Microstructure Images in
Fiber-reinforced Polymers using Convolutional Neural Networks

Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks

7 October 2020

ArXiv (abs)PDF HTML

Papers citing "Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks"

3 / 3 papers shown

Bayesian neural networks for predicting uncertainty in full-field
material response

Bayesian neural networks for predicting uncertainty in full-field material response

Lori Graham-Brady

Michael D. Shields

245

16

0

21 Jun 2024

Image-based Artificial Intelligence empowered surrogate model and shape
morpher for real-time blank shape optimisation in the hot stamping process

Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process

165

1

0

01 Dec 2022

Stress field prediction in fiber-reinforced composite materials using a
deep learning approach

Stress field prediction in fiber-reinforced composite materials using a deep learning approach

Anindya Bhaduri

L. Graham‐Brady

183

165

0

01 Nov 2021