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Researcher
- Adam M Guss
- Ali Passian
- Isabelle Snyder
- Josh Michener
- Liangyu Qian
- Adam Siekmann
- Andrzej Nycz
- Austin L Carroll
- Emilio Piesciorovsky
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Serena Chen
- Subho Mukherjee
- Udaya C Kalluri
- Vivek Sujan
- Xiaohan Yang
- Aaron Werth
- Aaron Wilson
- Alex Walters
- Ali Riza Ekti
- Biruk A Feyissa
- Carrie Eckert
- Chris Masuo
- Claire Marvinney
- Clay Leach
- Debjani Pal
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerald Tuskan
- Harper Jordan
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- Kyle Davis
- Nance Ericson
- Nils Stenvig
- Ozgur Alaca
- Paul Abraham
- Raymond Borges Hink
- Srikanth Yoginath
- Varisara Tansakul
- Vilmos Kertesz
- Vincent Paquit
- Viswadeep Lebakula
- William Alexander
- 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.

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.

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.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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