bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics

Python classes and scripts for the manuscript "Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case study on Rutford Ice Stream, Antarctica" by B. Riel, B. Minchew, and T. Bischoff. Included in this repository are scripts for traini...

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Bibliographic Details
Main Author: Bryan Riel
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2021
Subjects:
Antarc*
Antarctica
Rutford Ice Stream
Online Access:https://doi.org/10.5281/zenodo.4755695
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spelling ftzenodo:oai:zenodo.org:4755695 2024-09-15T17:43:21+00:00 bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics Bryan Riel 2021-05-13 https://doi.org/10.5281/zenodo.4755695 unknown Zenodo https://github.com/bryanvriel/LearningBasalMechanics/tree/v0.1-alpha https://doi.org/10.5281/zenodo.4755694 https://doi.org/10.5281/zenodo.4755695 oai:zenodo.org:4755695 info:eu-repo/semantics/openAccess Other (Open) info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.475569510.5281/zenodo.4755694 2024-07-26T21:44:11Z Python classes and scripts for the manuscript "Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case study on Rutford Ice Stream, Antarctica" by B. Riel, B. Minchew, and T. Bischoff. Included in this repository are scripts for training physics-informed neural networks for 1D and 2D ice flow simulations. For both cases, ice flow follows the shallow shelf/stream approximation (SSA). Other/Unknown Material Antarc* Antarctica Rutford Ice Stream Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Python classes and scripts for the manuscript "Data-Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics-Informed Neural Networks: Case study on Rutford Ice Stream, Antarctica" by B. Riel, B. Minchew, and T. Bischoff. Included in this repository are scripts for training physics-informed neural networks for 1D and 2D ice flow simulations. For both cases, ice flow follows the shallow shelf/stream approximation (SSA).
format Other/Unknown Material
author Bryan Riel
spellingShingle Bryan Riel
bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics
author_facet Bryan Riel
author_sort Bryan Riel
title bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics
title_short bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics
title_full bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics
title_fullStr bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics
title_full_unstemmed bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics
title_sort bryanvriel/learningbasalmechanics: pre-release for learning basal mechanics
publisher Zenodo
publishDate 2021
url https://doi.org/10.5281/zenodo.4755695
genre Antarc*
Antarctica
Rutford Ice Stream
genre_facet Antarc*
Antarctica
Rutford Ice Stream
op_relation https://github.com/bryanvriel/LearningBasalMechanics/tree/v0.1-alpha
https://doi.org/10.5281/zenodo.4755694
https://doi.org/10.5281/zenodo.4755695
oai:zenodo.org:4755695
op_rights info:eu-repo/semantics/openAccess
Other (Open)
op_doi https://doi.org/10.5281/zenodo.475569510.5281/zenodo.4755694
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