Prediction of Effective Elastic and Thermal Properties of Heterogeneous Materials Using Convolutional Neural Networks

Prediction of Effective Elastic and Thermal Properties of Heterogeneous Materials Using Convolutional Neural Networks

The aim of this study is to develop a new method to predict the effective elastic and thermal behavior of heterogeneous materials using Convolutional Neural Networks CNN. This work consists first of all in building a large database containing microstructures of two phases of heterogeneous material w...

Full description

Bibliographic Details
Main Authors:	Hamdi Béji, Toufik Kanit, Tanguy Messager
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Applied Mechanics
Subjects:	numerical homogenization convolutional neural network deep learning regression model
Online Access:	https://www.mdpi.com/2673-3161/4/1/16

Similar Items

Mathematical Models for Predicting the Elastic and Thermal Behavior of Heterogeneous Materials through Curve Fitting
by: Hamdi Beji, et al.
Published: (2023-12-01)

Statistical downscaling of numerical weather prediction based on convolutional neural networks
by: Hongwei Yang, et al.
Published: (2022-04-01)

Advancing Facial Expression Recognition in Online Learning Education Using a Homogeneous Ensemble Convolutional Neural Network Approach
by: Rit Lawpanom, et al.
Published: (2024-01-01)

Functional data learning using convolutional neural networks
by: J Galarza, et al.
Published: (2024-01-01)

Sound Source Localization Using a Convolutional Neural Network and Regression Model
by: Tan-Hsu Tan, et al.
Published: (2021-12-01)

Clickbait Convolutional Neural Network
by: Hai-Tao Zheng, et al.
Published: (2018-05-01)

Material Recognition Method Based on Attention Mechanism and Deep Convolutional Neural Network
by: XU Hua-jie, YANG Yang, LI Gui-lan
Published: (2021-10-01)

Convolutional-de-convolutional neural networks for recognition of surgical workflow
by: Yu-wen Chen, et al.
Published: (2022-09-01)

DISTRIBUTED CONVOLUTIONAL NEURAL NETWORK MODEL ON RESOURCE-CONSTRAINED CLUSTER
by: Rezeda R. Khaydarova, et al.
Published: (2020-10-01)

Head Pose Estimation Based on Robust Convolutional Neural Network
by: Bao Jiao, et al.
Published: (2016-12-01)

Sentiment Classification Using Convolutional Neural Networks
by: Hannah Kim, et al.
Published: (2019-06-01)

Applications of deep convolutional neural networks to digitized natural history collections
by: Eric Schuettpelz, et al.
Published: (2017-11-01)

New Hybrid Graph Convolution Neural Network with Applications in Game Strategy
by: Hanyue Xu, et al.
Published: (2023-09-01)

Multi-Task Convolutional Neural Network for Image Aesthetic Assessment
by: Derya Soydaner, et al.
Published: (2024-01-01)

Phylogenetic convolutional neural networks in metagenomics
by: Diego Fioravanti, et al.
Published: (2018-03-01)

Improvement in the Convolutional Neural Network for Computed Tomography Images
by: Keisuke Manabe, et al.
Published: (2021-02-01)

CF-CNN: Coarse-to-Fine Convolutional Neural Network
by: Jinho Park, et al.
Published: (2021-04-01)

Foreign object debris material recognition based on convolutional neural networks
by: Haoyu Xu, et al.
Published: (2018-04-01)

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images
by: Pegah Khosravi, et al.
Published: (2018-01-01)

Convolutional neural networks based potholes detection using thermal imaging
by: Aparna, et al.
Published: (2022-03-01)

Optimized separable convolution: Yet another efficient convolution operator
by: Tao Wei, et al.
Published: (2022-01-01)

Deep Regression Neural Network for Industrial Surface Defect Detection
by: Zhiquan He, et al.
Published: (2020-01-01)

Enhancing Tandem Solar Cell's efficiency through convolutional neural network-based optimization of metasurfaces
by: Ayesha Razi, et al.
Published: (2023-12-01)

Tea category classification via 5-layer customized convolutional neural network
by: Xiang Li, et al.
Published: (2021-05-01)

Identification of Epileptic EEG Signals Using Convolutional Neural Networks
by: Rahib Abiyev, et al.
Published: (2020-06-01)

Review of Image Classification Algorithms Based on Convolutional Neural Networks
by: Leiyu Chen, et al.
Published: (2021-11-01)

Convolutional Neural Networks for Profiled Side-channel Analysis
by: S. R. Hou, et al.
Published: (2019-09-01)

Structured Compression of Convolutional Neural Networks for Specialized Tasks
by: Freddy Gabbay, et al.
Published: (2022-10-01)

Robust feature space separation for deep convolutional neural network training
by: Ali Sekmen, et al.
Published: (2021-11-01)

A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
by: Seyedsaman Emami, et al.
Published: (2023-01-01)

A Speed Regression Using Acceleration Data in a Deep Convolutional Neural Network
by: Karl L. Wang, et al.
Published: (2019-01-01)

Optimization of elasticity of unidirectionnal non-overlapping fiber reinforced materials
by: Lakhal L., et al.
Published: (2019-01-01)

The Study of The Convolutional Neural Networks Applications
by: Ahmed Saadaldin Shamsaldin, et al.
Published: (2019-12-01)

Multi-Column Atrous Convolutional Neural Network for Counting Metro Passengers
by: Jun Zhang, et al.
Published: (2020-04-01)

Sesame Disease Detection Using a Deep Convolutional Neural Network
by: ABEJE Bekalu Tadele, et al.
Published: (2022-10-01)

Hybridized Hierarchical Deep Convolutional Neural Network for Sports Rehabilitation Exercises
by: Dapeng Tang
Published: (2020-01-01)

Weak Micro-Scratch Detection Based on Deep Convolutional Neural Network
by: Limei Song, et al.
Published: (2019-01-01)

Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks
by: Giovanni Diraco, et al.
Published: (2021-10-01)

Foreign Object Debris (FOD) Classification Through Material Recognition Using Deep Convolutional Neural Network With Focus on Metal
by: Syeda Mahrukh Zainab, et al.
Published: (2023-01-01)

Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
by: Adrian Moldovan, et al.
Published: (2021-09-01)