Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(138)
- User Facilities (28)
Researcher
- William Carter
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chris Masuo
- Luke Meyer
- Peter Wang
- Stephen M Killough
- Adam Stevens
- Alex Walters
- Amy Elliott
- Benjamin Lawrie
- Bryan Maldonado Puente
- Cameron Adkins
- Chengyun Hua
- Corey Cooke
- Diana E Hun
- Erin Webb
- Evin Carter
- Gabor Halasz
- Isha Bhandari
- Jeremy Malmstead
- Jiaqiang Yan
- John Holliman II
- Joshua Vaughan
- Kitty K Mccracken
- Liam White
- Michael Borish
- Nolan Hayes
- Oluwafemi Oyedeji
- Petro Maksymovych
- Philip Boudreaux
- Rangasayee Kannan
- Roger G Miller
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- Tyler Smith
- William Peter
- Xianhui Zhao
- Yukinori Yamamoto

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

When a magnetic field is applied to a type-II superconductor, it penetrates the superconductor in a thin cylindrical line known as a vortex line. Traditional methods to manipulate these vortices are limited in precision and affect a broad area.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.