Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
Researcher
- Ali Passian
- Benjamin Manard
- Cyril Thompson
- Adam Siekmann
- Alexander I Wiechert
- Charles F Weber
- Claire Marvinney
- Costas Tsouris
- Harper Jordan
- Hong Wang
- Hyeonsup Lim
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Matt Vick
- Nance Ericson
- Srikanth Yoginath
- Vandana Rallabandi
- Varisara Tansakul
- Vivek Sujan

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.