The Reliable Ore Characterization with Keystone Sensing (ROCKS) program supports small-scale research and development projects to advance cutting-edge technologies in drilling, sensing, and analytical technologies to enable rapid, high-resolution, and cost-effective assessment of rare earth elements (REE) in ore deposits.
Funding will support the project team's small-scale research and development of quantum and machine learning-accelerated software tools and apply them to discovering ultra-strong, lightweight magnets for electric motors and generators and for future high-performance information technology.
Laboratory-based reservoir characterization efforts, laboratory testing, modeling and simulation, infrastructure design consultation, permitting, a…
Modify Buildings to enable pilot-scale circuit operations by upgrading key infrastructure in Buildings 23, 25, and 29. This involves replacing frei…
The U.S. Department of Energy (DOE) is proposing to provide federal funding to Virginia Polytechnic Institute and State University (VA Tech) to dev…
The Catalytic Application Testing for Accelerated Learning Chemistries via High-throughput Experimentation and Modeling Efficiently (CATALCHEM-E) program supports the small-scale research and development of heterogeneous catalysts, solid materials that reduce the inherent energy needed to drive industrial-scale chemical reactions responsible for making everyday products and commodities.
The goal of this mercury precipitation experiments is to evaluate the use of NaI in the sequestering of mercury from a typical SRS radioactive samp…
This task is to identify alternative chemical to Vertrel MCA for use as a storage medium for depleted uranium (DU) coupons. This task will involve …
he MRL is used for the synthesis and production of materials in support of Oil and Gas, Coal, and Critical Minerals Centers of Excellence research.…
This activity details the general operation of polymer additive manufacturing (AM) equipment (aka, 3D printers) at the AMC (935-W, Labs 136, 137, 1…