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
- Alex Plotkowski
- Amit Shyam
- Ryan Dehoff
- Singanallur Venkatakrishnan
- Vincent Paquit
- Amir K Ziabari
- Andrzej Nycz
- Diana E Hun
- James A Haynes
- Kuntal De
- Philip Bingham
- Philip Boudreaux
- Stephen M Killough
- Sumit Bahl
- Udaya C Kalluri
- Alex Walters
- Alice Perrin
- Andres Marquez Rossy
- Biruk A Feyissa
- Bryan Maldonado Puente
- Chris Masuo
- Clay Leach
- Corey Cooke
- Debjani Pal
- Gerry Knapp
- Gina Accawi
- Gurneesh Jatana
- Jovid Rakhmonov
- Mark M Root
- Michael Kirka
- Nicholas Richter
- Nolan Hayes
- Obaid Rahman
- Peeyush Nandwana
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- Sunyong Kwon
- Xiaohan Yang
- Ying Yang

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

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.

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

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.