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Researcher
- Adam M Guss
- Josh Michener
- Amit K Naskar
- Liangyu Qian
- Yong Chae Lim
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- Nihal Kanbargi
- Rangasayee Kannan
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- Jeremy Malmstead
- Jerry Parks
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- Kyle Davis
- Mengdawn Cheng
- Nandhini Ashok
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Priyanshi Agrawal
- Robert E Norris Jr
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- Sudarsanam Babu
- Sumit Gupta
- Tomas Grejtak
- Tyler Smith
- Uvinduni Premadasa
- Vera Bocharova
- Vincent Paquit
- William Alexander
- William Peter
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang
- Yukinori Yamamoto

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.

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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.