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
- Diana E Hun
- Adam M Guss
- Som Shrestha
- Josh Michener
- Philip Boudreaux
- Tomonori Saito
- Liangyu Qian
- Zoriana Demchuk
- Andrzej Nycz
- Biruk A Feyissa
- Bryan Maldonado Puente
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Mahabir Bhandari
- Nolan Hayes
- Serena Chen
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Udaya C Kalluri
- Venugopal K Varma
- Vilmos Kertesz
- Xiaohan Yang
- Achutha Tamraparni
- Adam Aaron
- Alex Roschli
- Alex Walters
- Andre O Desjarlais
- Austin Carroll
- Brian Sanders
- Catalin Gainaru
- Charles D Ottinger
- Chris Masuo
- Clay Leach
- Debjani Pal
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Gina Accawi
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Joanna Tannous
- Karen Cortes Guzman
- Kitty K Mccracken
- Kuma Sumathipala
- Kyle Davis
- Mark M Root
- Mengjia Tang
- Nandhini Ashok
- Natasha Ghezawi
- Oluwafemi Oyedeji
- Paul Abraham
- Peter Wang
- Soydan Ozcan
- Stephen M Killough
- Tyler Smith
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Xianhui Zhao
- Yang Liu
- Yasemin Kaygusuz
- Zhenglai Shen

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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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 use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called