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Researcher
- Ryan Dehoff
- Hongbin Sun
- Michael Kirka
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alexandre Sorokine
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Blane Fillingim
- Brian Post
- Christopher Ledford
- Clay Leach
- Clinton Stipek
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- David Nuttall
- Ilias Belharouak
- James Haley
- Jessica Moehl
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Philipe Ambrozio Dias
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Roger G Miller
- Ruhul Amin
- Sarah Graham
- Sudarsanam Babu
- Taylor Hauser
- Thien D. Nguyen
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vishaldeep Sharma
- Viswadeep Lebakula
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto

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.

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.

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

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.

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.

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

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

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.