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Researcher
- Adam M Guss
- Beth L Armstrong
- Ying Yang
- Jun Qu
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- Andrzej Nycz
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- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Kyle Davis
- Liangyu Qian
- Marm Dixit
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- Mina Yoon
- Nancy Dudney
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- Nicholas Richter
- Patxi Fernandez-Zelaia
- Paul Abraham
- Peeyush Nandwana
- Radu Custelcean
- Rangasayee Kannan
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- Serena Chen
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- Shajjad Chowdhury
- Sunyong Kwon
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.