Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate (223)
- 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 (135)
- User Facilities (27)
Researcher
- Anees Alnajjar
- Alexandre Sorokine
- Alex Roschli
- Clinton Stipek
- Craig A Bridges
- Daniel Adams
- Erin Webb
- Evin Carter
- Jeremy Malmstead
- Jessica Moehl
- Kitty K Mccracken
- Mariam Kiran
- Mengdawn Cheng
- Nageswara Rao
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Philipe Ambrozio Dias
- Sheng Dai
- Soydan Ozcan
- Taylor Hauser
- Tyler Smith
- Viswadeep Lebakula
- Xianhui Zhao

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.