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Researcher
- Adam M Guss
- Isabelle Snyder
- Josh Michener
- Liangyu Qian
- Adam Siekmann
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
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- John F Cahill
- Kuntal De
- Serena Chen
- Subho Mukherjee
- Udaya C Kalluri
- Vilmos Kertesz
- Vivek Sujan
- Xiaohan Yang
- Aaron Werth
- Aaron Wilson
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- Alexei P Sokolov
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- Jerry Parks
- Joanna Tannous
- John Wenzel
- Keju An
- Kyle Davis
- Mark Loguillo
- Matthew B Stone
- Nandhini Ashok
- Nils Stenvig
- Ozgur Alaca
- Paul Abraham
- Raymond Borges Hink
- Shannon M Mahurin
- Tao Hong
- Tomonori Saito
- Victor Fanelli
- Vincent Paquit
- Viswadeep Lebakula
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

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

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.