Deep learning and crystal plasticity: a preconditioning approach for accurate orientation evolution prediction
type: Item
instance of: scholarly article
title: Deep learning and crystal plasticity: a preconditioning approach for accurate orientation evolution prediction
author: Peyman Saidi
author: Hadi Pirgazi
author: Mehdi Sanjari
author: Saeed Tamimi
author: Mohsen Mohammadi
author: Laurent K. Béland
author: Mark R. Daymond
author: Isaac Tamblyn
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2022-01-26T00:00:00Z
full work available at URL: https://arxiv.org/abs/2106.12730
Mathematics Subject Classification ID: 74C15
zbMATH DE Number: 7464515
zbMATH Keywords: neural network
zbMATH Keywords: gated recurrent unit
zbMATH Keywords: crystal plasticity
zbMATH Keywords: Taylor model
describes a project that uses: F3DAM
MaRDI profile type: Publication
OpenAlex ID: W3174458719
cites work: Deformation texture prediction: from the Taylor model to the advanced LAMEL model
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cites work: Q4497859
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DOI: 10.1016/J.CMA.2021.114392
description: scientific article; zbMATH DE number 7464515