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
- Josh Michener
- Kyle Kelley
- Liangyu Qian
- Rama K Vasudevan
- Ali Abouimrane
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Ruhul Amin
- Serena Chen
- Sergei V Kalinin
- Stephen Jesse
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Walters
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Bogdan Dryzhakov
- Brian Sanders
- Chris Masuo
- Clay Leach
- David L Wood III
- Debjani Pal
- Georgios Polyzos
- Gerald Tuskan
- Hongbin Sun
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilenne Del Valle Kessra
- Jamieson Brechtl
- Jaswinder Sharma
- Jay D Huenemann
- Jerry Parks
- Jewook Park
- Joanna Tannous
- Junbin Choi
- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Kyle Davis
- Liam Collins
- Lu Yu
- Marm Dixit
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nandhini Ashok
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Ondrej Dyck
- Paul Abraham
- Pradeep Ramuhalli
- Saban Hus
- Steven Randolph
- Vincent Paquit
- William Alexander
- Yang Liu
- Yaocai Bai
- Yasemin Kaygusuz
- Yongtao Liu
- 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.

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.

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 ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.