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Researcher
- Adam M Guss
- Peeyush Nandwana
- Venugopal K Varma
- Amit Shyam
- Andrzej Nycz
- Biruk A Feyissa
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- Brian Post
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- Yanli Wang
- Ying Yang
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- Costas Tsouris
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- Kunal Mondal
- Kyle Davis
- Liangyu Qian
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- Matt Kurley III
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- Mengdawn Cheng
- Mike Zach
- Mingyan Li
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- Nate See
- N Dianne Ezell
- Nedim Cinbiz
- Nithin Panicker
- Oluwafemi Oyedeji
- Oscar Martinez
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- Vittorio Badalassi
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xianhui Zhao
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang

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).

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

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