| Autor: |
Raquel Alonso-Perez, James M.D. Day, D. Graham Pearson, Yan Luo, Manuel A. Palacios, Raju Sudhakar, Aaron Palke |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Artificial Intelligence in Geosciences, Vol 5, Iss , Pp 100085- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-5441 |
| DOI: |
10.1016/j.aiig.2024.100085 |
| Popis: |
Emeralds – the green colored variety of beryl – occur as gem-quality specimens in over fifty deposits globally. While digital traceability methods for emerald have limitations, sample-based approaches offer robust alternatives, particularly for determining the geographic origin of emerald. Three factors make emerald suitable for provenance studies and hence for developing models for origin determination. First, the diverse elemental chemistry of emerald at minor ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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