Predicting the preservation of buried ore deposits using deep-time landscape evolution modeling

Journal:

Science Advances

Published:

2025-11-28

DOI:

10.1126/sciadv.ady6244

Affiliations:

8

Authors:

15

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Institutions	Authors	Share
The University of Sydney (USYD), Australia	9.000000	0.60
Petroliam Nasional Berhad (PETRONAS), Malaysia	1.000000	0.07
Texas A&M University (TAMU), United States of America (USA)	1.000000	0.07
Government of New South Wales, Australia	1.000000	0.07
Curtin University, Australia	1.000000	0.07
Lithodat, Australia	1.000000	0.07
The University of Newcastle (UON), Australia	0.500000	0.03
Victorian Government, Australia	0.500000	0.03

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