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
- Anees Alnajjar
- Hongbin Sun
- Prashant Jain
- Alexander I Wiechert
- Costas Tsouris
- Craig A Bridges
- Debangshu Mukherjee
- Gs Jung
- Gyoung Gug Jang
- Ian Greenquist
- Ilias Belharouak
- Mariam Kiran
- Md Inzamam Ul Haque
- Nageswara Rao
- Nate See
- Nithin Panicker
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Radu Custelcean
- Ruhul Amin
- Sheng Dai
- Vishaldeep Sharma
- Vittorio Badalassi

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

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

Current fuel used in nuclear light water reactors that generate energy for the grid use a solid form of uranium that is heated and processed to form pellets.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.