Request for Information (RFI) - Three-Dimensional Characterization of the Subsurface by Advanced Modeling and Sensing Techniques
ID: 356697Type: Posted
Overview

Buyer

Advanced Research Projects Agency Energy (DOE-ARPAE)

Award Range

$0 - $0

Eligible Applicants

Unrestricted

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Cooperative Agreement

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/356697

Additional Information

https://arpa-e-foa.energy.gov
Timeline
    Description

    The Advanced Research Projects Agency-Energy (ARPA-E) is issuing a Request for Information (RFI) to gather insights on advanced modeling and sensing techniques for the exploration and characterization of critical mineral deposits in the subsurface. This initiative, in collaboration with the United States Geological Survey (USGS) and the Defense Advanced Research Projects Agency (DARPA), aims to enhance the efficiency and accuracy of identifying domestic critical mineral resources, addressing concerns over reliance on foreign supplies. The RFI specifically seeks input from universities, small businesses, and research organizations regarding transformative technologies that can improve data acquisition and 3-D analysis using artificial intelligence and machine learning. Responses to this RFI should be submitted in PDF format to ARPA-E-RFI@hq.doe.gov by 5:00 p.m. Eastern Time on November 4, 2024, and further details can be found at https://arpa-e-foa.energy.gov.

    Point(s) of Contact
    arpa-e-co@hq.doe.gov
    Files
    Title
    Posted
    RFI_DE-FOA-0003480_3-D.pdf
    The U.S. Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E) is seeking input via a Request for Information (RFI) to develop advanced modeling and sensing techniques for exploring and characterizing critical mineral deposits in the subsurface. This initiative, conducted in collaboration with the United States Geological Survey (USGS) and the Defense Advanced Research Projects Agency (DARPA), aims to enhance the efficiency and accuracy of identifying domestic critical mineral resources amid concerns over dependence on foreign supplies. The program focuses on improved data acquisition through new sensors and 3-D analysis using artificial intelligence and machine learning. Key areas of interest include enhanced sensing techniques, automated chemical characterization, and advancements in 3-D modeling to provide rapid assessments of mineral deposits. The RFI targets universities, small businesses, and research organizations for insights into transformative technologies while providing strict guidelines for response submissions. Notably, the document emphasizes non-funding intentions and outlines the potential for collaborative innovation in critical mineral exploration, underpinning national security and economic stability.
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