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Researcher
- Hongbin Sun
- Chad Steed
- Junghoon Chae
- Soydan Ozcan
- Travis Humble
- Xianhui Zhao
- Alex Roschli
- Annetta Burger
- Carter Christopher
- Chance C Brown
- Debraj De
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- Gautam Malviya Thakur
- Halil Tekinalp
- Ilias Belharouak
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- Jeremy Malmstead
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- Kevin Sparks
- Kitty K Mccracken
- Liz McBride
- Oluwafemi Oyedeji
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Samudra Dasgupta
- Sanjita Wasti
- Thien D. Nguyen
- Todd Thomas
- Tyler Smith
- Vishaldeep Sharma
- Xiuling Nie

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.

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.

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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.