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Researcher
- Blane Fillingim
- Brian Post
- Lauren Heinrich
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Alexander I Wiechert
- Alex Roschli
- Costas Tsouris
- Dave Willis
- Debangshu Mukherjee
- Erin Webb
- Evin Carter
- Gs Jung
- Gyoung Gug Jang
- Jeremy Malmstead
- Kitty K Mccracken
- Luke Chapman
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Radu Custelcean
- Ramanan Sankaran
- Soydan Ozcan
- Sydney Murray III
- Tyler Smith
- Vasilis Tzoganis
- Vasiliy Morozov
- Vimal Ramanuj
- Wenjun Ge
- Xianhui Zhao
- Yun Liu

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

High and ultra-high vacuum applications require seals that do not allow leaks. O-rings can break down over time, due to aging and exposure to radiation. Metallic seals can damage sealing surfaces, making replacement of the original seal very difficult.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

The technology describes an electron beam in a storage ring as a quantum computer.

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