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
- Josh Michener
- Amit K Naskar
- Benjamin Manard
- Liangyu Qian
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Cyril Thompson
- Daniel Jacobson
- Isaiah Dishner
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Kuntal De
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Serena Chen
- Soydan Ozcan
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Alexander I Wiechert
- Alex Roschli
- Alex Walters
- Arit Das
- Benjamin L Doughty
- Brian Sanders
- Charles F Weber
- Chris Masuo
- Christopher Bowland
- Clay Leach
- Costas Tsouris
- Dali Wang
- Debjani Pal
- Edgar Lara-Curzio
- Erin Webb
- Evin Carter
- Felix L Paulauskas
- Frederic Vautard
- Gerald Tuskan
- Halil Tekinalp
- Holly Humphrey
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Mcfarlane
- Joanna Tannous
- Jonathan Willocks
- Kitty K Mccracken
- Kyle Davis
- Matt Vick
- Mengdawn Cheng
- Nandhini Ashok
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Robert E Norris Jr
- Sanjita Wasti
- Santanu Roy
- Sumit Gupta
- Tyler Smith
- Uvinduni Premadasa
- Vandana Rallabandi
- Vera Bocharova
- Vincent Paquit
- Wei Zhang
- William Alexander
- Yang Liu
- Yasemin Kaygusuz
- 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.

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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.

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.

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.