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Bridging length scales in granular materials using convolutional neural networks

Published Print: 2022-02

Authors

Mital, Utkarsh https://orcid.org/0000-0001-9794-382X
Andrade, José E.
Funding

Funding for this research was provided by:

Army Research Office (W911NF-17-1-0212)
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Text and Data Mining valid from 2022-02-01

Text and Data Mining valid from 2022-02-01

Version of Record valid from 2025-12-25
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This article is maintained by: Elsevier

Article Title: Bridging length scales in granular materials using convolutional neural networks

Journal Title: Computational Particle Mechanics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s40571-021-00405-1

Content Type: article

Copyright: Copyright © 2021 The Authors. Published by Elsevier Ltd. Published by Elsevier Ltd

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