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)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (138)
- User Facilities (28)
Researcher
- Vivek Sujan
- Adam M Guss
- Josh Michener
- Michael Kirka
- Adam Siekmann
- Liangyu Qian
- Omer Onar
- Rangasayee Kannan
- Ryan Dehoff
- Subho Mukherjee
- Adam Stevens
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Christopher Ledford
- Daniel Jacobson
- Erdem Asa
- Isabelle Snyder
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Peeyush Nandwana
- Serena Chen
- Udaya C Kalluri
- Vilmos Kertesz
- Vincent Paquit
- Xiaohan Yang
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Beth L Armstrong
- Brian Post
- Brian Sanders
- Chris Masuo
- Clay Leach
- Corson Cramer
- Debjani Pal
- Fred List III
- Gerald Tuskan
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- James Klett
- Jay D Huenemann
- Jerry Parks
- Joanna Tannous
- Keith Carver
- Kyle Davis
- Nandhini Ashok
- Patxi Fernandez-Zelaia
- Paul Abraham
- Philip Bingham
- Richard Howard
- Roger G Miller
- Sarah Graham
- Shajjad Chowdhury
- Steve Bullock
- Sudarsanam Babu
- Thomas Butcher
- Trevor Aguirre
- Venkatakrishnan Singanallur Vaidyanathan
- William Alexander
- William Peter
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang
- Yukinori Yamamoto

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.

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.

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).