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
- Soydan Ozcan
- Xianhui Zhao
- Alexander I Kolesnikov
- Alexander I Wiechert
- Alex Roschli
- Bekki Mills
- Costas Tsouris
- Debangshu Mukherjee
- Erin Webb
- Evin Carter
- Gs Jung
- Gyoung Gug Jang
- Halil Tekinalp
- Jeremy Malmstead
- John Wenzel
- Kitty K Mccracken
- Mark Loguillo
- Matthew B Stone
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Radu Custelcean
- Sanjita Wasti
- Tyler Smith
- Victor Fanelli

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

Neutron beams are used around the world to study materials for various purposes.

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

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