Dataset Open Access
Data of "Recurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step."
Wu, Ling;
Noels, Ludovic
Data related to
===========
title = "Recurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step.",
journal = "Computer Methods in Applied Mechanics and Engineering",
volume ="390",
year = "2022",
doi = "https://doi.org/10.1016/j.cma.2021.114476 ",
pages = "114476 ",
author = "Wu, Ling and Noels, Ludovic"
We would be grateful if you could cite the paper in the case in which you are using the data
The files replace version 1 whose zip was corrupted.
Files
(176.8 GB)
| Name | Size | |
|---|---|---|
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2022_CMAME_NNWPCA_ConstRVE.zip
md5:fd90a7ecdc11a3abad20ec24c5b08cba |
93.1 MB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_Res0.zip
md5:677ff6d7df6ad2b2a3112cfa42e02d14 |
9.9 GB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_Res1.zip
md5:05bd1a4a960b2a771c5a90dd88e61ccb |
4.8 GB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_Res2.zip
md5:ea4353ef7c8eaa553987d666779d4dee |
13.4 GB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_Res3.zip
md5:abbd0b25f3a0adf0045e6a9e923d1d28 |
11.9 GB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_Res4.zip
md5:bff038a219cda1edf5ba364379a31b24 |
5.5 GB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_Res5.zip
md5:dcc075dcf41659209672dcca5d576111 |
23.2 GB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_Res6.zip
md5:3aef745511bdc14f657ba26159a22d09 |
11.0 GB | Download |
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2022_CMAME_NNWPCA_FilteredPaths_Path_ResTest.zip
md5:f3b33667050575cf52c4ae3a6edb20c0 |
11.1 GB | Download |
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2022_CMAME_NNWPCA_PaperFigures.zip
md5:fa39057aa5f8d0168721ee6cb0c3080d |
978.7 MB | Download |
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2022_CMAME_NNWPCA_trainingPaths.zip
md5:a1fa9646f312923e023402a6daf28632 |
5.3 kB | Download |
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2022_CMAME_NNWPCA_TrucData.zip
md5:30637a6f99b63491bdcf7a15b280ecc1 |
84.9 GB | Download |
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Readme.txt
md5:3764fab1a64303e9574adb9d46d41c7a |
1.6 kB | Download |
126
127
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 126 | 80 |
| Downloads | 127 | 122 |
| Data volume | 1.9 TB | 1.8 TB |
| Unique views | 108 | 67 |
| Unique downloads | 72 | 69 |
Indexed in
- Publication date:
- November 8, 2021
- DOI:
-
- Keyword(s):
- Recurrent neural networks Multi-scale Dimensionality Reduction Localization step History dependence High dimensionality
- Published in:
- Computer Methods in Applied Mechanics and Engineering: 390 pp. 114476.
- Grants:
-
European Commission:
- MOAMMM - Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials (862015)
- License (for files):
- Creative Commons Attribution 4.0 International