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
- Rama K Vasudevan
- Costas Tsouris
- Sergei V Kalinin
- Yongtao Liu
- Gyoung Gug Jang
- Jeffrey Einkauf
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Benjamin L Doughty
- Bruce Moyer
- Diana E Hun
- Gs Jung
- Kyle Kelley
- Nikki Thiele
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Santa Jansone-Popova
- Stephen M Killough
- Vincent Paquit
- Alexander I Wiechert
- Anton Ievlev
- Arpan Biswas
- Bryan Maldonado Puente
- Corey Cooke
- Gerd Duscher
- Gina Accawi
- Gurneesh Jatana
- Ilja Popovs
- Jayanthi Kumar
- Jennifer M Pyles
- Jong K Keum
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Mark M Root
- Marti Checa Nualart
- Md Faizul Islam
- Michael Kirka
- Mina Yoon
- Neus Domingo Marimon
- Nolan Hayes
- Obaid Rahman
- Olga S Ovchinnikova
- Parans Paranthaman
- Peter Wang
- Ryan Kerekes
- Sai Mani Prudhvi Valleti
- Sally Ghanem
- Santanu Roy
- Saurabh Prakash Pethe
- Stephen Jesse
- Subhamay Pramanik
- Sumner Harris
- Utkarsh Pratiush
- Uvinduni Premadasa
- 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.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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.

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

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.