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Researcher
- Peeyush Nandwana
- Hongbin Sun
- Amit Shyam
- Blane Fillingim
- Brian Post
- Lauren Heinrich
- Prashant Jain
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
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- Yousub Lee
- Alexandre Sorokine
- Alex Plotkowski
- Andres Marquez Rossy
- Annetta Burger
- Bruce A Pint
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Christopher Fancher
- Clinton Stipek
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- Debraj De
- Eve Tsybina
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- Ian Greenquist
- Ilias Belharouak
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- Jessica Moehl
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- Liz McBride
- Nate See
- Nithin Panicker
- Peter Wang
- Philipe Ambrozio Dias
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Ryan Dehoff
- Steven J Zinkle
- Taylor Hauser
- Thien D. Nguyen
- Tim Graening Seibert
- Todd Thomas
- Tomas Grejtak
- Vishaldeep Sharma
- Vittorio Badalassi
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiuling Nie
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

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.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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 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.

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.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.