IDEAS home Printed from https://ideas.repec.org/a/cvr/ijisrt/202607ijisrt26jul574.html

Geometallurgical Recovery Prediction Models for U.S. Critical Minerals: A Critical Review of Current Approaches for Copper, Cobalt, Lithium and Rare Earth Element Ore Systems

Author

Listed:
  • Pierre Mensah

  • Andrews Ayim Oduro

Abstract

The United States is working hard to scale up domestic critical mineral production, and the goal is to reduce import dependence. Executive Order 14241 and the 2025 List of Critical Minerals set the federal framework, and that framework rests on credible domestic production projections. The projections then rest on the accuracy of recovery prediction models that operators run at mine level. This paper reviews the published geometallurgical recovery prediction literature for four critical mineral systems of U.S. strategic importance. The systems are copper, cobalt, lithium, and rare earth elements. It compares the geostatistical, machine-learning, and process-mineralogy methods that are now in use. And it identifies where the underlying physical complexity, the data availability, and the published methodology align to support credible federal projections. It also shows where they do not. The conclusion is that the methodology maturity is highly uneven across the four mineral systems, and that this unevenness has direct consequences for U.S. critical mineral supply chain credibility.

Suggested Citation

  • Pierre Mensah & Andrews Ayim Oduro, 2026. "Geometallurgical Recovery Prediction Models for U.S. Critical Minerals: A Critical Review of Current Approaches for Copper, Cobalt, Lithium and Rare Earth Element Ore Systems," International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 11(07), pages 1057-1064, July.
  • Handle: RePEc:cvr:ijisrt:2026:07:ijisrt26jul574
    DOI: https://doi.org/10.38124/ijisrt/26jul574
    as

    Download full text from publisher

    File URL: https://www.ijisrt.com/geometallurgical-recovery-prediction-models-for-us-critical-minerals-a-critical-review-of-current-approaches-for-copper-cobalt-lithium-and-rare-earth-element-ore-systems
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.38124/ijisrt/26jul574?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvr:ijisrt:2026:07:ijisrt26jul574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rahul Goyel (email available below). General contact details of provider: https://www.ijisrt.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.