Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate
(27)
- 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 (137)
- User Facilities (28)
Researcher
- Mingyan Li
- Sam Hollifield
- Alexander I Wiechert
- Brian Sanders
- Brian Weber
- Costas Tsouris
- Debangshu Mukherjee
- Gs Jung
- Gyoung Gug Jang
- Isaac Sikkema
- Jerry Parks
- Joseph Olatt
- Kevin Spakes
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mary A Adkisson
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Oscar Martinez
- Radu Custelcean
- T Oesch

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.

Direct-acting antivirals are needed to combat coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

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.

There is a critical need for new antiviral drugs for treating infections of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

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