Deep learning speeds up ice flow modelling by several orders of magnitude

Guillaume Jouvet, Guillaume Cordonnier, Byungsoo Kim, Martin Lüthi, Andreas Vieli, Andy Aschwanden

Open source

DOI: 10.1017/jog.2021.120
Published: 2021-12-22
Container: Journal of Glaciology
Publisher: Cambridge University Press (CUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1017/jog.2021.120,
  title = {Deep learning speeds up ice flow modelling by several orders of magnitude},
  author = {Guillaume Jouvet and Guillaume Cordonnier and Byungsoo Kim and Martin Lüthi and Andreas Vieli and Andy Aschwanden},
  year = {2021},
  journal = {Journal of Glaciology},
  doi = {10.1017/jog.2021.120},
  url = {https://doi.org/10.1017/jog.2021.120}
}

RIS

TY  - JOUR
TI  - Deep learning speeds up ice flow modelling by several orders of magnitude
AU  - Guillaume Jouvet
AU  - Guillaume Cordonnier
AU  - Byungsoo Kim
AU  - Martin Lüthi
AU  - Andreas Vieli
AU  - Andy Aschwanden
PY  - 2021
JO  - Journal of Glaciology
DO  - 10.1017/jog.2021.120
UR  - https://doi.org/10.1017/jog.2021.120
ER  -

APA

Jouvet, G., Cordonnier, G., Kim, B., Lüthi, M., Vieli, A., & Aschwanden, A. (2021). Deep learning speeds up ice flow modelling by several orders of magnitude. Journal of Glaciology. https://doi.org/10.1017/jog.2021.120

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crossref · retrieved 2026-09-25T06:44:31.832Z