SOURCE-LINKED INTELLIGENCE
CAIG: PREDICTING THE DISTRIBUTION OF RARE-EARTH ELEMENT-RICH SEDIMENT USING ARTIFICIAL INTELLIGENCE-BASED GEOSPATIAL MAPPING AND FISH TOOTH FOSSILS -RARE EARTH ELEMENTS (REES) ARE ESSENTIAL TO MODERN TECHNOLOGY, U.S. ECO
CAIG: PREDICTING THE DISTRIBUTION OF RARE-EARTH ELEMENT-RICH SEDIMENT USING ARTIFICIAL INTELLIGENCE-BASED GEOSPATIAL MAPPING AND FISH TOOTH FOSSILS -RARE EARTH ELEMENTS (REES) ARE ESSENTIAL TO MODERN TECHNOLOGY, U.S. ECONOMIC COMPETITIVENESS, AND NATIONAL SECURITY. TECHNOLOGICAL SECTOR GROWTH HAS MOTIVATED INTEREST IN MINING REE-RICH DEEP-SEA SEDIMENT. SOME OF THE HIGHEST KNOWN REE CONCENTRATIONS IN SEDIMENT OCCUR IN THE DEEP PACIFIC OCEAN. HOWEVER, THEIR DISTRIBUTION IS NOT WELL KNOWN. TRADITIONAL SAMPLING METHODS ARE INEFFICIENT FOR MAPPING THEIR SPATIAL VARIABILITY. THIS PROJECT WILL IDENTI
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- recordType
- award
- region
- US
- value
- 1356482
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.