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Researcher
- Hongbin Sun
- Blane Fillingim
- Brian Post
- Lauren Heinrich
- Peeyush Nandwana
- Prashant Jain
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Femi Omitaomu
- Haowen Xu
- Ian Greenquist
- Ilias Belharouak
- Nate See
- Nithin Panicker
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ramanan Sankaran
- Ruhul Amin
- Thien D. Nguyen
- Vimal Ramanuj
- Vishaldeep Sharma
- Vittorio Badalassi
- Wenjun Ge

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

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 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 will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software engin

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.