Filter Results
Related Organization
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate
(229)
- 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
(138)
- User Facilities (28)
- (-) Biological and Environmental Systems Science Directorate (29)
Researcher
- Adam M Guss
- Ilias Belharouak
- Amit Shyam
- Josh Michener
- Alex Plotkowski
- Liangyu Qian
- Alexey Serov
- Ali Abouimrane
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- James A Haynes
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Kuntal De
- Marm Dixit
- Ruhul Amin
- Ryan Dehoff
- Serena Chen
- Soydan Ozcan
- Sumit Bahl
- Udaya C Kalluri
- Vilmos Kertesz
- Xiang Lyu
- Xianhui Zhao
- Xiaohan Yang
- Adam Stevens
- Alex Roschli
- Alex Walters
- Alice Perrin
- Amit K Naskar
- Andres Marquez Rossy
- Ben LaRiviere
- Beth L Armstrong
- Brian Post
- Brian Sanders
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Dali Wang
- David L Wood III
- Dean T Pierce
- Debjani Pal
- Erin Webb
- Evin Carter
- Gabriel Veith
- Georgios Polyzos
- Gerald Tuskan
- Gerry Knapp
- Gordon Robertson
- Halil Tekinalp
- Holly Humphrey
- Hongbin Sun
- Ilenne Del Valle Kessra
- James Szybist
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Jonathan Willocks
- Jovid Rakhmonov
- Junbin Choi
- Khryslyn G Araño
- Kitty K Mccracken
- Kyle Davis
- Logan Kearney
- Lu Yu
- Meghan Lamm
- Mengdawn Cheng
- Michael Toomey
- Michelle Lehmann
- Nance Ericson
- Nandhini Ashok
- Nicholas Richter
- Nihal Kanbargi
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Paul Groth
- Peeyush Nandwana
- Peter Wang
- Pradeep Ramuhalli
- Rangasayee Kannan
- Ritu Sahore
- Roger G Miller
- Sanjita Wasti
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Todd Toops
- Tyler Smith
- Vincent Paquit
- Wei Zhang
- William Alexander
- William Peter
- Yang Liu
- Yaocai Bai
- Yasemin Kaygusuz
- Ying Yang
- Yukinori Yamamoto
- Zhijia Du
- Zhili Feng

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

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.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.

We have developed thermophilic bacterial strains that can break down PET and consume ethylene glycol and TPA. This will help enable modern, petroleum-derived plastics to be converted into value-added chemicals.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.