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  Ground motion prediction using Physics-Informed Symbolic Learning (PISL)

Liu, X., Chen, S., Fu, L., Cotton, F. (2024): Ground motion prediction using Physics-Informed Symbolic Learning (PISL) - Abstracts, EGU General Assembly 2024 (Vienna, Austria and Online 2024).
https://doi.org/10.5194/egusphere-egu24-9728

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025597 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025597_2
Genre: Conference Paper

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 Creators:
Liu, Xianwei1, Author              
Chen, Su2, Author
Fu, Lei2, Author
Cotton, Fabrice3, Author              
Affiliations:
10 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              
2External Organizations, ou_persistent22              
32.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146032              

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Free keywords: Oral presentation
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Language(s): eng - English
 Dates: 2024
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.5194/egusphere-egu24-9728
GFZPOF: p4 T3 Restless Earth
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Title: EGU General Assembly 2024
Place of Event: Vienna, Austria and Online
Start-/End Date: 2024-04-14 - 2024-04-19

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Title: Abstracts
Source Genre: Proceedings
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