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Researcher
- Andrzej Nycz
- Adam M Guss
- Chris Masuo
- Peter Wang
- Josh Michener
- Alex Walters
- Liangyu Qian
- Austin L Carroll
- Biruk A Feyissa
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- Joshua Vaughan
- Kuntal De
- Luke Meyer
- Serena Chen
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- Udaya C Kalluri
- Vilmos Kertesz
- William Carter
- Xiaohan Yang
- Akash Jag Prasad
- Amit Shyam
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- Jaydeep Karandikar
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- Jay Reynolds
- Jeff Brookins
- Jerry Parks
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- Joanna Tannous
- John Holliman II
- John Potter
- Kyle Davis
- Nandhini Ashok
- Nolan Hayes
- Paul Abraham
- Philip Boudreaux
- Riley Wallace
- Ritin Mathews
- Ryan Kerekes
- Sally Ghanem
- Vincent Paquit
- Vladimir Orlyanchik
- William Alexander
- 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.

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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.