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Researcher
- Ali Passian
- Hsuan-Hao Lu
- Joseph Lukens
- Nicholas Peters
- Peeyush Nandwana
- Alex Plotkowski
- Amit Shyam
- Joseph Chapman
- Muneer Alshowkan
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- Anees Alnajjar
- Blane Fillingim
- Brian Post
- Chad Steed
- Costas Tsouris
- Gs Jung
- Gyoung Gug Jang
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- Junghoon Chae
- Lauren Heinrich
- Pratishtha Shukla
- Radu Custelcean
- Sergiy Kalnaus
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- Sumit Bahl
- Thomas Feldhausen
- Travis Humble
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- Alice Perrin
- Amy Moore
- Andres Marquez Rossy
- Beth L Armstrong
- Brandon Miller
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- Bryan Lim
- Callie Goetz
- Christopher Hobbs
- Claire Marvinney
- Craig A Bridges
- Debangshu Mukherjee
- Eddie Lopez Honorato
- Emilio Piesciorovsky
- Fred List III
- Gary Hahn
- Georgios Polyzos
- Gerry Knapp
- Harper Jordan
- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- Jong K Keum
- Jovid Rakhmonov
- Keith Carver
- Mariam Kiran
- Matt Kurley III
- Md Inzamam Ul Haque
- Mina Yoon
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Olga S Ovchinnikova
- Pablo Moriano Salazar
- Ramanan Sankaran
- Rangasayee Kannan
- Raymond Borges Hink
- Richard Howard
- Rodney D Hunt
- Ryan Dehoff
- Ryan Heldt
- Samudra Dasgupta
- Sheng Dai
- Sunyong Kwon
- Thomas Butcher
- Tomas Grejtak
- Tyler Gerczak
- Varisara Tansakul
- Vimal Ramanuj
- Vivek Sujan
- Wenjun Ge
- Ying Yang
- Yiyu Wang

The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.

An ultrabroadband, polarization-entangled photon source for C+L-band quantum networks, enabling adaptive, high-fidelity entanglement distribution.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.

This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.