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Researcher
- Adam M Guss
- Josh Michener
- Rafal Wojda
- Liangyu Qian
- Prasad Kandula
- Srikanth Yoginath
- Andrzej Nycz
- Isaiah Dishner
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- Kuntal De
- Pratishtha Shukla
- Serena Chen
- Sudip Seal
- Udaya C Kalluri
- Vandana Rallabandi
- Xiaohan Yang
- Alex Plotkowski
- Alex Walters
- Ali Passian
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Chris Masuo
- Christopher Fancher
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- Debjani Pal
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- Marcio Magri Kimpara
- Mostak Mohammad
- Nance Ericson
- Omer Onar
- Paul Abraham
- Praveen Kumar
- Shajjad Chowdhury
- Subho Mukherjee
- Suman Debnath
- Varisara Tansakul
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu

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.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

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.

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

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.