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| _creationDate | Datetime | 2024-08-29 11:48:31 PM |
| _modificationDate | Datetime | 2024-11-12 5:48:09 PM |
| _pageID | Integer | 105,246 |
| _pageName | Page | Reference:Reference-022865 |
| _pageTitle | String | Reference-022865
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| Field | Field type | Allowed values | Value |
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| Firstname | String | | Jouvet, Guillaume; Cordonnier, Guillaume; Kim, Byungsoo; Lüthi, Martin; Vieli, Andreas; Aschwanden, Andy; |
| BibType | String | journalArticle · report · bookSection · webpage · conferencePaper · MISC · thesis · blogpost · preprint | journalArticle |
| Title | String | | Deep learning speeds up ice flow modelling by several orders of magnitude |
| Editors | String | | |
| Year | Date | | August 2022 |
| Journal | String | | Journal of Glaciology |
| Booktitle | String | | |
| Volume | String | | 68 |
| Pages | String | | 651–664 |
| URL | String | | https://www.cambridge.org/core/product/identifier/S0022143021001209/type/journal_article |
| DOI | String | | 10.1017/jog.2021.120 |
| ISBN | String | | |
| Note | String | | Auto downloaded ref at: 2024-08-29 |
1 row is stored for this page
| Field | Field type | Value |
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| PublicationMultipleModelsCargo | String | Instructed Glacier Model |
1 row is stored for this page
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| Semantic_ID | String | | 3da4c33100942a503b4afe012129ba077d3eacc6 |
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