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Researcher
- Alex Plotkowski
- Amit Shyam
- Peeyush Nandwana
- Blane Fillingim
- Brian Post
- James A Haynes
- Lauren Heinrich
- Sudarsanam Babu
- Sumit Bahl
- Thomas Feldhausen
- Yousub Lee
- Alexander I Wiechert
- Alice Perrin
- Andres Marquez Rossy
- Bruce Moyer
- Costas Tsouris
- Debangshu Mukherjee
- Debjani Pal
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- Jeffrey Einkauf
- Jennifer M Pyles
- Jovid Rakhmonov
- Justin Griswold
- Kuntal De
- Laetitia H Delmau
- Luke Sadergaski
- Md Inzamam Ul Haque
- Mike Zach
- Nicholas Richter
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Radu Custelcean
- Ramanan Sankaran
- Ryan Dehoff
- Sandra Davern
- Sunyong Kwon
- Vimal Ramanuj
- Wenjun Ge
- Ying Yang

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

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.

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.

Biocompatible nanoparticles have been developed that can trap and retain therapeutic radionuclides and their byproducts at the cancer site. This is important to maximize the therapeutic effect of this treatment and minimize associated side effects.

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