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
- Alexander I Wiechert
- Brian Sanders
- Costas Tsouris
- Debangshu Mukherjee
- Gerald Tuskan
- Gs Jung
- Gyoung Gug Jang
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Jerry Parks
- Joseph Olatt
- Kunal Mondal
- Mahim Mathur
- Md Inzamam Ul Haque
- Mingyan Li
- Olga S Ovchinnikova
- Oscar Martinez
- Paul Abraham
- Radu Custelcean
- Sam Hollifield
- Vilmos Kertesz
- Xiaohan Yang
- Yang Liu

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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).

The invention provides on-line analysis of droplets for mass spectrometry.

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