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Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python

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Published in:Geoscientific Model Development
Format: Online Article RSS Article
Published: 2026
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container_title Geoscientific Model Development
description
discipline_display Physical Sciences
discipline_facet Physical Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:45696
institution FRELIP
journal_source_facet Geoscientific Model Development
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python
Earth Sciences
Earth Sciences
Physical Sciences
sub_discipline_display Earth Sciences
sub_discipline_facet Earth Sciences
subject_display Earth Sciences
Earth Sciences
Physical Sciences
Earth Sciences
Earth Sciences
Physical Sciences
subject_facet Earth Sciences
Earth Sciences
Physical Sciences
title Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python
title_auth Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python
title_full Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python
title_fullStr Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python
title_full_unstemmed Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python
title_short Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python
title_sort curlew 1.0: spatio-temporal implicit geological modelling with neural fields in python
topic Earth Sciences
Earth Sciences
Physical Sciences
url https://doi.org/10.5194/gmd-19-3455-2026