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Researcher
- Adam M Guss
- Josh Michener
- Bo Shen
- Liangyu Qian
- Praveen Cheekatamarla
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Vishaldeep Sharma
- Amir K Ziabari
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Diana E Hun
- Isaiah Dishner
- James Manley
- Jeff Foster
- John F Cahill
- Kuntal De
- Kyle Gluesenkamp
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Serena Chen
- Stephen M Killough
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Walters
- Brian Sanders
- Bryan Maldonado Puente
- Chris Masuo
- Clay Leach
- Corey Cooke
- Debjani Pal
- Easwaran Krishnan
- Gerald Tuskan
- Gina Accawi
- Gurneesh Jatana
- Hongbin Sun
- Ilenne Del Valle Kessra
- Jamieson Brechtl
- Jay D Huenemann
- Jerry Parks
- Joanna Tannous
- Joe Rendall
- John Holliman II
- Kashif Nawaz
- Kyle Davis
- Mark M Root
- Melanie Moses-DeBusk Debusk
- Michael Kirka
- Muneeshwaran Murugan
- Nandhini Ashok
- Nolan Hayes
- Obaid Rahman
- Paul Abraham
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- William Alexander
- Yang Liu
- Yasemin Kaygusuz
- Yifeng Hu

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

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.

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

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.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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