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
- Vivek Sujan
- Adam M Guss
- Peeyush Nandwana
- Josh Michener
- Adam Siekmann
- Liangyu Qian
- Omer Onar
- Subho Mukherjee
- Amit Shyam
- Andrzej Nycz
- Biruk A Feyissa
- Blane Fillingim
- Brian Post
- Carrie Eckert
- Daniel Jacobson
- Erdem Asa
- Isabelle Snyder
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Lauren Heinrich
- Rangasayee Kannan
- Serena Chen
- Sudarsanam Babu
- Thomas Feldhausen
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Yousub Lee
- Alex Plotkowski
- Alex Walters
- Andres Marquez Rossy
- Austin Carroll
- Brian Sanders
- Bruce A Pint
- Bryan Lim
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Debjani Pal
- Gerald Tuskan
- Gordon Robertson
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jerry Parks
- Joanna Tannous
- Kyle Davis
- Nandhini Ashok
- Paul Abraham
- Peter Wang
- Ryan Dehoff
- Shajjad Chowdhury
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yang Liu
- Yanli Wang
- Yasemin Kaygusuz
- Ying Yang
- Yiyu Wang
- Yutai Kato

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.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.