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Researcher
- Adam M Guss
- Ryan Dehoff
- Josh Michener
- Liangyu Qian
- Vincent Paquit
- Andrzej Nycz
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- Isaiah Dishner
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- Xiaohan Yang
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- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Samudra Dasgupta
- Sarah Graham
- Sudarsanam Babu
- Venkatakrishnan Singanallur Vaidyanathan
- Vilmos Kertesz
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Yang Liu
- Ying Yang
- Yukinori Yamamoto

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.

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

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.

The technologies described provides for the upcycling of mixed plastics to muonic acid and 3-hydroxyacids.