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Researcher
- Diana E Hun
- Adam M Guss
- Beth L Armstrong
- Philip Boudreaux
- Som Shrestha
- Jun Qu
- Tomonori Saito
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- Amit Shyam
- Andrzej Nycz
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- Nolan Hayes
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- Udaya C Kalluri
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- Xiaohan Yang
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- Debjani Pal
- Ethan Self
- Gabriel Veith
- Gerald Tuskan
- Gerry Knapp
- Gina Accawi
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- Isaiah Dishner
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- Jeff Foster
- Joanna Tannous
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- Jordan Wright
- Jovid Rakhmonov
- Karen Cortes Guzman
- Khryslyn G Araño
- Kuma Sumathipala
- Kyle Davis
- Liangyu Qian
- Mark M Root
- Marm Dixit
- Matthew S Chambers
- Mengjia Tang
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- Peeyush Nandwana
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- Rangasayee Kannan
- Serena Chen
- Sergiy Kalnaus
- Shajjad Chowdhury
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Singanallur Venkatakrishnan
- Stephen M Killough
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu
- Ying Yang
- Yiyu Wang
- Zhenglai Shen

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.