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Researcher
- Alex Plotkowski
- Amit Shyam
- Peeyush Nandwana
- Blane Fillingim
- Brian Post
- James A Haynes
- Lauren Heinrich
- Sudarsanam Babu
- Sumit Bahl
- Thomas Feldhausen
- Yousub Lee
- Alexander I Wiechert
- Alice Perrin
- Andres Marquez Rossy
- Christopher Hobbs
- Costas Tsouris
- Debangshu Mukherjee
- Eddie Lopez Honorato
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- Jovid Rakhmonov
- Matt Kurley III
- Md Inzamam Ul Haque
- Nicholas Richter
- Olga S Ovchinnikova
- Radu Custelcean
- Ramanan Sankaran
- Rodney D Hunt
- Ryan Dehoff
- Ryan Heldt
- Sunyong Kwon
- Tyler Gerczak
- Vimal Ramanuj
- Wenjun Ge
- Ying Yang

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

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.

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.

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.