Peer-reviewedCC BY-NC-ND 4.0Communications Earth & Environment
Physics-informed deep learning links geodetic data and fault friction
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BibTeX
@article{fukushima2026physicsinformed,
title = {{Physics-informed deep learning links geodetic data and fault friction}},
author = {Rikuto Fukushima and Masayuki Kano and Kazuro Hirahara and Makiko Ohtani},
journal = {Communications Earth \& Environment},
year = {2026},
month = oct,
doi = {10.1038/s43247-026-04138-y},
url = {https://www.nature.com/articles/s43247-026-04138-y},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Physics-informed deep learning links geodetic data and fault friction
AU - Rikuto Fukushima
AU - Masayuki Kano
AU - Kazuro Hirahara
AU - Makiko Ohtani
PY - 2026
DA - 2026/10/12
JO - Communications Earth & Environment
DO - 10.1038/s43247-026-04138-y
UR - https://www.nature.com/articles/s43247-026-04138-y
SN - 2662-4435
ER -