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: Riel, Bryan
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2021
Subjects:
Rutford
Rutford Ice Stream
Antarc*
Antarctica
Online Access:https://dx.doi.org/10.5281/zenodo.4755695
https://zenodo.org/record/4755695
id ftdatacite:10.5281/zenodo.4755695
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4755695 2023-05-15T13:40:42+02:00 bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics Riel, Bryan 2021 https://dx.doi.org/10.5281/zenodo.4755695 https://zenodo.org/record/4755695 unknown Zenodo https://github.com/bryanvriel/LearningBasalMechanics/tree/v0.1-alpha https://github.com/bryanvriel/LearningBasalMechanics/tree/v0.1-alpha https://dx.doi.org/10.5281/zenodo.4755694 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2021 ftdatacite https://doi.org/10.5281/zenodo.4755695 https://doi.org/10.5281/zenodo.4755694 2021-11-05T12:55:41Z 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). Article in Journal/Newspaper Antarc* Antarctica Rutford Ice Stream DataCite Metadata Store (German National Library of Science and Technology) Rutford ENVELOPE(-85.300,-85.300,-78.600,-78.600) Rutford Ice Stream ENVELOPE(-80.000,-80.000,-79.167,-79.167)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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 Article in Journal/Newspaper
author Riel, Bryan
spellingShingle Riel, Bryan
bryanvriel/LearningBasalMechanics: Pre-release for Learning Basal Mechanics
author_facet Riel, Bryan
author_sort Riel, Bryan
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://dx.doi.org/10.5281/zenodo.4755695
https://zenodo.org/record/4755695
long_lat ENVELOPE(-85.300,-85.300,-78.600,-78.600)
ENVELOPE(-80.000,-80.000,-79.167,-79.167)
geographic Rutford
Rutford Ice Stream
geographic_facet Rutford
Rutford Ice Stream
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://github.com/bryanvriel/LearningBasalMechanics/tree/v0.1-alpha
https://dx.doi.org/10.5281/zenodo.4755694
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.4755695
https://doi.org/10.5281/zenodo.4755694
_version_ 1766138614700310528

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