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
- Radu Custelcean
- Costas Tsouris
- Gyoung Gug Jang
- Jeffrey Einkauf
- Singanallur Venkatakrishnan
- Alexander I Wiechert
- Amir K Ziabari
- Benjamin L Doughty
- Bruce Moyer
- Diana E Hun
- Gs Jung
- Nikki Thiele
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Santa Jansone-Popova
- Stephen M Killough
- Vincent Paquit
- Benjamin Manard
- Bryan Maldonado Puente
- Charles F Weber
- Corey Cooke
- Derek Dwyer
- Gina Accawi
- Gurneesh Jatana
- Ilja Popovs
- Jayanthi Kumar
- Jennifer M Pyles
- Joanna Mcfarlane
- Jonathan Willocks
- Jong K Keum
- Laetitia H Delmau
- Louise G Evans
- Luke Sadergaski
- Mark M Root
- Matt Vick
- Md Faizul Islam
- Mengdawn Cheng
- Michael Kirka
- Mina Yoon
- Nolan Hayes
- Obaid Rahman
- Parans Paranthaman
- Paula Cable-Dunlap
- Peter Wang
- Richard L. Reed
- Ryan Kerekes
- Sally Ghanem
- Santanu Roy
- Saurabh Prakash Pethe
- Subhamay Pramanik
- Uvinduni Premadasa
- Vandana Rallabandi
- Vera Bocharova
- Yingzhong Ma

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

The technologies provides for regeneration of anion-exchange resin.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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

This invention describes a new class of amphiphilic chelators (extractants) that can selectively separate large, light rare earth elements from heavy, small rare earth elements in solvent extraction schemes.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

Pyrolysis evolved gas analysis – mass spectrometry (EGA-MS) and pyrolysis gas chromatography – MS (GC-MS) – are powerful analytical tools for polymer characterization.

ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.