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Researcher
- Adam M Guss
- Ryan Dehoff
- Vincent Paquit
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Clay Leach
- Hongbin Sun
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- Kuntal De
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- Liangyu Qian
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- Oscar Martinez
- Patxi Fernandez-Zelaia
- Paul Abraham
- Peeyush Nandwana
- Philip Bingham
- Pradeep Ramuhalli
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- Rangasayee Kannan
- Richard Howard
- Rodney D Hunt
- Roger G Miller
- Rose Montgomery
- Ruhul Amin
- Ryan Heldt
- Sam Hollifield
- Sarah Graham
- Serena Chen
- Singanallur Venkatakrishnan
- Sudarsanam Babu
- Thomas Butcher
- Thomas R Muth
- Tyler Gerczak
- Ugur Mertyurek
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- William Peter
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang
- Yukinori Yamamoto

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.

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.

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.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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.