OSCR

Tsunami inversion using deep neural representations.

Overview

Authors: Amr Morssy1,2, Paul D Teal1, W Bastiaan Kleijn1
ORCID iDs: W Bastiaan Kleijn
  1. Victoria University of Wellington, Wellington, New Zealand
  2. Present Address: Chemistry and process engineering, University of Canterbury, Christchurch, New Zealand
Institutions: University of Canterbury (New Zealand); Victoria University of Wellington (New Zealand)
Journal: Scientific reports, volume 16, issue 1, article 15925
Dates: received 2 June 2025; accepted 28 January 2026; published online 3 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-38002-y · PMID 41932953 · PMCID PMC13194737 · OpenAlex W7148756809
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: none (in silico) (organism), systems (subfield)
Methods: Preprocessing, Connectivity, Machine learning
Keywords: Natural hazards, Seismology, Computer science
Topic: earthquake and tectonic studies (Geophysics, Earth and Planetary Sciences), according to OpenAlex
Funding: The Institute of Geological and Nuclear Sciences Limited (GNS) ,New Zealand. (68087-ENDRP-GNS)
Citations: not cited yet (Europe PMC); 36 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the code is available on request

Read it in the paper: doi.org/10.1038/s41598-026-38002-y.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 3 keywords, 1 funder, 18 references.

Cite

This paper

Morssy, A., Teal, P. D., & Kleijn, W. B. (2026). Tsunami inversion using deep neural representations. Scientific reports, 16(1), 15925. https://doi.org/10.1038/s41598-026-38002-y

BibTeX

@article{morssy2026tsunami,
author = {Morssy, Amr and Teal, Paul D and Kleijn, W Bastiaan},
title = {{Tsunami inversion using deep neural representations}},
journal = {Scientific reports},
year = {2026},
month = apr,
volume = {16},
number = {1},
pages = {15925},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-38002-y},
url = {https://doi.org/10.1038/s41598-026-38002-y},
pmid = {41932953},
pmcid = {PMC13194737}
}

RIS

TY - JOUR
AU - Morssy, Amr
AU - Teal, Paul D
AU - Kleijn, W Bastiaan
TI - Tsunami inversion using deep neural representations
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/04/03
VL - 16
IS - 1
SP - 15925
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-38002-y
UR - https://doi.org/10.1038/s41598-026-38002-y
LA - en
ER -

CSL-JSON

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"container-title-short": "Sci Rep",
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"ISSN": "2045-2322",
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"language": "en",
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