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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Chris Tyler
- Adam M Guss
- Steven Guzorek
- Justin West
- Brian Post
- Ritin Mathews
- Vipin Kumar
- David Nuttall
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- Andrzej Nycz
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- Carrie Eckert
- Dan Coughlin
- David Olvera Trejo
- J.R. R Matheson
- Jaydeep Karandikar
- Jim Tobin
- Josh Michener
- Kuntal De
- Pum Kim
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- Segun Isaac Talabi
- Tyler Smith
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- Uday Vaidya
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- Oluwafemi Oyedeji
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- Subhabrata Saha
- Sudarsanam Babu
- Thomas Feldhausen
- Tony L Schmitz
- Vincent Paquit
- Vladimir Orlyanchik
- Xianhui Zhao
- Yang Liu
- Yasemin Kaygusuz

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.

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.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.