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
- Venugopal K Varma
- Mahabir Bhandari
- Adam Aaron
- Alexander I Wiechert
- Brian Sanders
- Charles D Ottinger
- Costas Tsouris
- Debangshu Mukherjee
- Gerald Tuskan
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Ilenne Del Valle Kessra
- Jerry Parks
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Paul Abraham
- Radu Custelcean
- Rose Montgomery
- Thomas R Muth
- 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.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.

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).

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.

The interface gasket for building envelope is designed to enhance the installation of windows and other objects into building openings.

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

The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.