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Researcher
- Adam M Guss
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Josh Michener
- Alex Plotkowski
- Brian Post
- Jun Qu
- Liangyu Qian
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- Zhili Feng
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- Chad Steed
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- Yanli Wang
- Yarom Polsky
- Yasemin Kaygusuz
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

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.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.