Development of an algorithm for reconstruction of droplet history based on deposition pattern using computational fluid dynamics and convolutional neural network
type: Item
instance of: scholarly article
title: Development of an algorithm for reconstruction of droplet history based on deposition pattern using computational fluid dynamics and convolutional neural network
zbMATH Open document ID: 1506.76010
author: Amin Zargaran
author: Uwe Janoske
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-26T00:00:00Z
Mathematics Subject Classification ID: 76A20
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 76M99
zbMATH DE Number: 7337923
zbMATH Keywords: liquid thin film
zbMATH Keywords: thin film deposition
zbMATH Keywords: film-particle interaction
zbMATH Keywords: computational fluid dynamics
zbMATH Keywords: convolutional neural networks
describes a project that uses: MNIST
describes a project that uses: ImageNet
describes a project that uses: AlexNet
describes a project that uses: Keras
describes a project that uses: PMTK
describes a project that uses: Fashion-MNIST
MaRDI profile type: Publication
full work available at URL: j.cma.2020.113442
OpenAlex ID: W3089503798
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DOI: 10.1016/J.CMA.2020.113442
description: scientific article; zbMATH DE number 7337923