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
- Adam M Guss
- Alex Plotkowski
- Amit Shyam
- Ryan Dehoff
- Singanallur Venkatakrishnan
- Vincent Paquit
- Amir K Ziabari
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Diana E Hun
- James A Haynes
- Josh Michener
- Kuntal De
- Philip Bingham
- Philip Boudreaux
- Stephen M Killough
- Sumit Bahl
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Walters
- Alice Perrin
- Andres Marquez Rossy
- Austin Carroll
- Brian Sanders
- Bryan Maldonado Puente
- Chris Masuo
- Clay Leach
- Corey Cooke
- Daniel Jacobson
- Debjani Pal
- Gerald Tuskan
- Gerry Knapp
- Gina Accawi
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Jovid Rakhmonov
- Kyle Davis
- Liangyu Qian
- Mark M Root
- Michael Kirka
- Nandhini Ashok
- Nicholas Richter
- Nolan Hayes
- Obaid Rahman
- Paul Abraham
- Peeyush Nandwana
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- Serena Chen
- Sunyong Kwon
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang

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

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

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 a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

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

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.