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Researcher
- Vivek Sujan
- Adam M Guss
- Josh Michener
- Adam Siekmann
- Liangyu Qian
- Omer Onar
- Srikanth Yoginath
- Subho Mukherjee
- Austin L Carroll
- Erdem Asa
- Isabelle Snyder
- Isaiah Dishner
- James J Nutaro
- Jeff Foster
- John F Cahill
- Pratishtha Shukla
- Serena Chen
- Sudip Seal
- Xiaohan Yang
- Alex Walters
- Ali Passian
- Andrzej Nycz
- Bryan Lim
- Carrie Eckert
- Clay Leach
- Gerald Tuskan
- Harper Jordan
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- Kyle Davis
- Nance Ericson
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Rangasayee Kannan
- Shajjad Chowdhury
- Tomas Grejtak
- Udaya C Kalluri
- Varisara Tansakul
- Vilmos Kertesz
- Vincent Paquit
- William Alexander
- 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.

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.

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.

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.