Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate (223)
- 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
(135)
- User Facilities (27)
Researcher
- Tomonori Saito
- Adam M Guss
- Jeff Foster
- Anisur Rahman
- Diana E Hun
- Josh Michener
- Liangyu Qian
- Mary Danielson
- Syed Islam
- Zoriana Demchuk
- Alexei P Sokolov
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Catalin Gainaru
- Chad Steed
- Daniel Jacobson
- Isaiah Dishner
- John F Cahill
- Junghoon Chae
- Kuntal De
- Michelle Lehmann
- Natasha Ghezawi
- Ramesh Bhave
- Serena Chen
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Som Shrestha
- Travis Humble
- Udaya C Kalluri
- Vera Bocharova
- Vilmos Kertesz
- Xiaohan Yang
- Achutha Tamraparni
- Alex Walters
- Andre O Desjarlais
- Annetta Burger
- Austin Carroll
- Benjamin L Doughty
- Brian Sanders
- Carter Christopher
- Chance C Brown
- Chris Masuo
- Clay Leach
- Corson Cramer
- Debjani Pal
- Debraj De
- Gautam Malviya Thakur
- Gerald Tuskan
- Ilenne Del Valle Kessra
- James Gaboardi
- Jay D Huenemann
- Jerry Parks
- Jesse McGaha
- Joanna Tannous
- Karen Cortes Guzman
- Kevin Sparks
- Kuma Sumathipala
- Kyle Davis
- Liz McBride
- Mengjia Tang
- Nandhini Ashok
- Nick Galan
- Nick Gregorich
- Paul Abraham
- Robert Sacci
- Samudra Dasgupta
- Santanu Roy
- Shailesh Dangwal
- Shannon M Mahurin
- Tao Hong
- Todd Thomas
- Uvinduni Premadasa
- Vincent Paquit
- Xiuling Nie
- Yang Liu
- Yasemin Kaygusuz

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.

This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,

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.

PET is used in many commercial products, but only a fraction is mechanically recycled, and even less is chemically recycled.

Developed a novel energy efficient, cost-effective, environmentally friendly process for separation of lithium from end-of-life lithium-ion batteries.

This work presents a novel method for upcycling polyethylene terephthalate (PET) waste into sustainable vitrimer materials. By combining bio-based crosslinkers with our PET-based macromonomer, we developed dynamically bonded plastics that are renewably sourced.

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.