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Researcher
- Ryan Dehoff
- Michael Kirka
- Stephen M Killough
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Blane Fillingim
- Brian Post
- Bryan Maldonado Puente
- Christopher Ledford
- Clay Leach
- Corey Cooke
- David Nuttall
- Diana E Hun
- James Haley
- Nate See
- Nolan Hayes
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Peter Wang
- Philip Bingham
- Philip Boudreaux
- Prashant Jain
- Rangasayee Kannan
- Roger G Miller
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Singanallur Venkatakrishnan
- Sudarsanam Babu
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

In manufacturing parts for industry using traditional molds and dies, about 70 percent to 80 percent of the time it takes to create a part is a result of a relatively slow cooling process.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.