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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Alex Roschli
- Anton Ievlev
- Bogdan Dryzhakov
- Bruce Moyer
- Debjani Pal
- Erin Webb
- Evin Carter
- Jeffrey Einkauf
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- Justin Griswold
- Kevin M Roccapriore
- Kitty K Mccracken
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Marti Checa Nualart
- Maxim A Ziatdinov
- Mengdawn Cheng
- Mike Zach
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Padhraic L Mulligan
- Paula Cable-Dunlap
- Sandra Davern
- Soydan Ozcan
- Stephen Jesse
- Steven Randolph
- Tyler Smith
- Xianhui Zhao
- Yongtao Liu

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

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

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 invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

An ORNL team has developed a method for screening for an immunoregulatory protein, which includes assessing the sequence of a candidate protein to determine if it is an immunoregulatory protein when at least one plasminogen-apple-nematode (PAN) domain with a consensus sequence