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Researcher
- Adam M Guss
- Andrzej Nycz
- Josh Michener
- Chris Masuo
- Liangyu Qian
- Srikanth Yoginath
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- Biruk A Feyissa
- Carrie Eckert
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- Junghoon Chae
- Kuntal De
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- Sudip Seal
- Travis Humble
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- Kyle Davis
- Liz McBride
- Loren L Funk
- Nance Ericson
- Nandhini Ashok
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Rangasayee Kannan
- Samudra Dasgupta
- Theodore Visscher
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- Vincent Paquit
- Vladislav N Sedov
- Xiuling Nie
- Yacouba Diawara
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang

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.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.