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Researcher
- Adam M Guss
- Josh Michener
- Kyle Kelley
- Liangyu Qian
- Rama K Vasudevan
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
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- Vilmos Kertesz
- Xiaohan Yang
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- Ali Passian
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- Joel Asiamah
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- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Kyle Davis
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nance Ericson
- Nandhini Ashok
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Ondrej Dyck
- Paul Abraham
- Raymond Borges Hink
- Saban Hus
- Srikanth Yoginath
- Steven Randolph
- Varisara Tansakul
- Vincent Paquit
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz
- Yongtao Liu

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.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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