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Researcher
- Corson Cramer
- Steve Bullock
- Adam M Guss
- Josh Michener
- Greg Larsen
- James Klett
- Liangyu Qian
- Srikanth Yoginath
- Trevor Aguirre
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- Kuntal De
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- Xiaohan Yang
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- Joel Asiamah
- Joel Dawson
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- Jordan Wright
- Kyle Davis
- Michael Kirka
- Nadim Hmeidat
- Nance Ericson
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Rangasayee Kannan
- Sana Elyas
- Steven Guzorek
- Tomas Grejtak
- Tomonori Saito
- Tony Beard
- Varisara Tansakul
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu
- Yiyu Wang

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.

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 technologies provide additively manufactured thermal protection system.

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

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.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called