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
- Mingyan Li
- Sam Hollifield
- Alexander I Wiechert
- Alex Roschli
- Brian Weber
- Costas Tsouris
- Debangshu Mukherjee
- Erin Webb
- Evin Carter
- Gs Jung
- Gyoung Gug Jang
- Isaac Sikkema
- Jeremy Malmstead
- Joseph Olatt
- Kevin Spakes
- Kitty K Mccracken
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mary A Adkisson
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Oscar Martinez
- Paula Cable-Dunlap
- Radu Custelcean
- Soydan Ozcan
- T Oesch
- Tyler Smith
- Xianhui Zhao

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.

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.

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

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

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