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Researcher
- Vivek Sujan
- Adam M Guss
- Josh Michener
- Adam Siekmann
- Liangyu Qian
- Omer Onar
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- Subho Mukherjee
- Andrzej Nycz
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- Xiaohan Yang
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- Joseph Olatt
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- Kunal Mondal
- Kyle Davis
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
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- Nance Ericson
- Oscar Martinez
- Paul Abraham
- Raymond Borges Hink
- Rob Root
- Samudra Dasgupta
- Shajjad Chowdhury
- Srikanth Yoginath
- T Oesch
- Varisara Tansakul
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu
- Yarom Polsky

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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

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