PREPRINT: AI-based approach for constraining the thermal evolution of Earth’s upper crust through automated digital fission-track analysis
Apatite fission-track (FT) thermochronology is widely used for constraining the thermal evolution of crustal rocks. However, manual identification of fission tracks is time-intensive and resource-demanding. Recent AI-based automation of FT det
Authors
- Andrew Gleadow (ORCID: https://orcid.org/0000-0003-0496-0028)
- Tom Drummond (ORCID: https://orcid.org/0000-0001-8204-5904)
- Chenghao Jiang
- Sean Jones (ORCID: https://orcid.org/0000-0003-4569-7297)
- Thomas M. Church (ORCID: https://orcid.org/0000-0003-2346-8610)
- Han Jiang (ORCID: https://orcid.org/0000-0003-2582-3014)
- Malcolm McMillan (ORCID: https://orcid.org/0000-0002-5113-0177)
- Ling Chung (ORCID: https://orcid.org/0000-0002-2046-1184)
- Samuel Boone (ORCID: https://orcid.org/0000-0003-2274-7933)
- Barry P. Kohn (ORCID: https://orcid.org/0000-0001-5064-5454)
- David Liu (ORCID: https://orcid.org/0000-0003-0346-5033)
- Kris Ehinger
- Noel Faux
- Usha Nattala
Publication Details
- Published
- 2025-09-22
- DOI
- https://doi.org/10.22541/au.175856991.11941871/v1
- Primary Topic
- Reservoir Engineering and Simulation Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00