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- Ahmed Hassen
- Vlastimil Kunc
- Adam M Guss
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- Tyler Smith
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
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- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Brittany Rodriguez
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- Xianhui Zhao
- Xiaohan Yang
- Adam Stevens
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- Chris Masuo
- Clay Leach
- Corey Cooke
- Craig Blue
- Dali Wang
- Debjani Pal
- Erin Webb
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- Nolan Hayes
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- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Peter Wang
- Ryan Kerekes
- Ryan Ogle
- Sally Ghanem
- Sana Elyas
- Sanjita Wasti
- Sudarsanam Babu
- Thomas Feldhausen
- Wei Zhang
- William Alexander
- Yang Liu
- Yasemin Kaygusuz
- Zhili Feng

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

The technology will offer supportless DIW of complex structures using vinyl ester resin, facilitated by multidirectional 6 axis printing.

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.

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.

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.