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Researcher
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Alex Walters
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- Hongbin Sun
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- Prashant Jain
- Udaya C Kalluri
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- Joseph Olatt
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- Kunal Mondal
- Mahim Mathur
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- Mike Zach
- Mingyan Li
- Nate See
- N Dianne Ezell
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- Nithin Panicker
- Oscar Martinez
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Richard Howard
- Riley Wallace
- Ritin Mathews
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- Rose Montgomery
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- Thomas Butcher
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- Ugur Mertyurek
- Vandana Rallabandi
- Venugopal K Varma
- Vincent Paquit
- Vishaldeep Sharma
- Vittorio Badalassi
- Vladimir Orlyanchik
- Xiaohan Yang

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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).

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.

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

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.