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
- Adam M Guss
- Ilias Belharouak
- Ali Passian
- Josh Michener
- Joseph Chapman
- Liangyu Qian
- Nicholas Peters
- Alexey Serov
- Ali Abouimrane
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Hsuan-Hao Lu
- Isaiah Dishner
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Joseph Lukens
- Kuntal De
- Marm Dixit
- Muneer Alshowkan
- Nance Ericson
- Ruhul Amin
- Serena Chen
- Udaya C Kalluri
- Vilmos Kertesz
- Xiang Lyu
- Xiaohan Yang
- Alex Walters
- Amit K Naskar
- Anees Alnajjar
- Ben LaRiviere
- Beth L Armstrong
- Brian Sanders
- Brian Williams
- Chris Masuo
- Claire Marvinney
- Clay Leach
- David L Wood III
- Debjani Pal
- Gabriel Veith
- Georgios Polyzos
- Gerald Tuskan
- Harper Jordan
- Holly Humphrey
- Hongbin Sun
- Ilenne Del Valle Kessra
- James Szybist
- Jay D Huenemann
- Jerry Parks
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Kyle Davis
- Logan Kearney
- Lu Yu
- Mariam Kiran
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nandhini Ashok
- Nihal Kanbargi
- Paul Abraham
- Paul Groth
- Pradeep Ramuhalli
- Ritu Sahore
- Srikanth Yoginath
- Todd Toops
- Varisara Tansakul
- Vincent Paquit
- William Alexander
- 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.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

Technologies directed to polarization agnostic continuous variable quantum key distribution are described.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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 development of quantum networking requires architectures capable of dynamically reconfigurable entanglement distribution to meet diverse user needs and ensure tolerance against transmission disruptions.

Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.