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
- Andrzej Nycz
- Blane Fillingim
- Brian Post
- Chris Masuo
- Lauren Heinrich
- Luke Meyer
- Mahabir Bhandari
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- William Carter
- Yousub Lee
- Adam Aaron
- Alexander I Wiechert
- Alex Walters
- Charles D Ottinger
- Costas Tsouris
- Debangshu Mukherjee
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Joshua Vaughan
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Peter Wang
- Radu Custelcean
- Ramanan Sankaran
- Rose Montgomery
- Thomas R Muth
- Vimal Ramanuj
- Wenjun Ge

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.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

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.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

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.