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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
- Dali Wang
- Debangshu Mukherjee
- Erin Webb
- Evin Carter
- Gs Jung
- Gyoung Gug Jang
- Jeremy Malmstead
- Jian Chen
- Kitty K Mccracken
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Radu Custelcean
- Ramanan Sankaran
- Soydan Ozcan
- Tyler Smith
- Vimal Ramanuj
- Wei Zhang
- Wenjun Ge
- Xianhui Zhao
- Zhili Feng

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

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