Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- 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)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (138)
- User Facilities (28)
- (-) Isotope Science and Enrichment Directorate (7)
Researcher
- Adam M Guss
- Ilias Belharouak
- Josh Michener
- Liangyu Qian
- Ali Abouimrane
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Mike Zach
- Ruhul Amin
- Serena Chen
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Walters
- Andrew F May
- Annetta Burger
- Ben Garrison
- Brad Johnson
- Brian Sanders
- Bruce Moyer
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Chris Masuo
- Christopher Hershey
- Clay Leach
- Craig Blue
- Daniel Rasmussen
- David L Wood III
- Debjani Pal
- Debraj De
- Gautam Malviya Thakur
- Georgios Polyzos
- Gerald Tuskan
- Hongbin Sun
- Hsin Wang
- Ilenne Del Valle Kessra
- James Gaboardi
- James Klett
- Jaswinder Sharma
- Jay D Huenemann
- Jeffrey Einkauf
- Jennifer M Pyles
- Jerry Parks
- Jesse McGaha
- Joanna Tannous
- John Lindahl
- Junbin Choi
- Justin Griswold
- Kevin Sparks
- Kyle Davis
- Laetitia H Delmau
- Liz McBride
- Luke Sadergaski
- Lu Yu
- Marm Dixit
- Nandhini Ashok
- Nedim Cinbiz
- Padhraic L Mulligan
- Paul Abraham
- Pradeep Ramuhalli
- Sandra Davern
- Todd Thomas
- Tony Beard
- Vincent Paquit
- William Alexander
- Xiuling Nie
- Yang Liu
- Yaocai Bai
- Yasemin Kaygusuz
- Zhijia Du

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.

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

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.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

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.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.