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Researcher
- Diana E Hun
- Peeyush Nandwana
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Hongbin Sun
- Zoriana Demchuk
- Amit Shyam
- Blane Fillingim
- Brian Post
- Bryan Maldonado Puente
- Lauren Heinrich
- Mahabir Bhandari
- Nolan Hayes
- Peter Wang
- Prashant Jain
- Rangasayee Kannan
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Sudarsanam Babu
- Thomas Feldhausen
- Venugopal K Varma
- Yousub Lee
- Achutha Tamraparni
- Adam Aaron
- Alex Plotkowski
- Andre O Desjarlais
- Andres Marquez Rossy
- Bruce A Pint
- Bryan Lim
- Catalin Gainaru
- Charles D Ottinger
- Christopher Fancher
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- Ian Greenquist
- Ilias Belharouak
- Jay Reynolds
- Jeff Brookins
- Karen Cortes Guzman
- Kuma Sumathipala
- Mark M Root
- Mengjia Tang
- Natasha Ghezawi
- Nate See
- Nithin Panicker
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Ryan Dehoff
- Stephen M Killough
- Steven J Zinkle
- Thien D. Nguyen
- Tim Graening Seibert
- Tomas Grejtak
- Venkatakrishnan Singanallur Vaidyanathan
- Vishaldeep Sharma
- Vittorio Badalassi
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato
- Zhenglai Shen

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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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.