Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate
(223)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (135)
- User Facilities (27)
Researcher
- Costas Tsouris
- Andrew Sutton
- Michelle Kidder
- Radu Custelcean
- Gyoung Gug Jang
- Srikanth Yoginath
- Venkatakrishnan Singanallur Vaidyanathan
- Alexander I Wiechert
- Amir K Ziabari
- Chad Steed
- Diana E Hun
- Gs Jung
- James J Nutaro
- Junghoon Chae
- Michael Cordon
- Philip Bingham
- Philip Boudreaux
- Pratishtha Shukla
- Ryan Dehoff
- Stephen M Killough
- Sudip Seal
- Travis Humble
- Vincent Paquit
- Ajibola Lawal
- Ali Passian
- Annetta Burger
- Benjamin Manard
- Bryan Lim
- Bryan Maldonado Puente
- Canhai Lai
- Carter Christopher
- Chance C Brown
- Charles F Weber
- Corey Cooke
- Debraj De
- Dhruba Deka
- Gautam Malviya Thakur
- Gina Accawi
- Gurneesh Jatana
- Harper Jordan
- James Gaboardi
- James Parks II
- Jeffrey Einkauf
- Jesse McGaha
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Jong K Keum
- Kevin Sparks
- Liz McBride
- Mark M Root
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Michael Kirka
- Mina Yoon
- Nance Ericson
- Nolan Hayes
- Obaid Rahman
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Ryan Kerekes
- Sally Ghanem
- Samudra Dasgupta
- Sreshtha Sinha Majumdar
- Todd Thomas
- Tomas Grejtak
- Vandana Rallabandi
- Varisara Tansakul
- Xiuling Nie
- Yeonshil Park
- Yiyu Wang

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

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

Monoterpenes conversion to C10 aromatics (60%) and C10 cycloalkanes (40%) in an inert environment, provides an established route for sustainable aviation fuel (SAF) blends sourced directly from biomass captured terpenes mixtures.

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.

Sugars (glucose and xylose) can be converted into dioxolanes which phase separate from water. These dioxolanes can be heterolytically cleaved which acts as a controlled dehydration reaction which results in ring closing of the subsequent structure to furans such as 5-hydr

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.