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Researcher
- Diana E Hun
- Adam M Guss
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Philip Boudreaux
- Som Shrestha
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- Brian Post
- Jun Qu
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- Xiaohan Yang
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- Zoriana Demchuk
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- Adam Aaron
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- Jerry Parks
- Jiheon Jun
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- Karen Cortes Guzman
- Khryslyn G Araño
- Kitty K Mccracken
- Kuma Sumathipala
- Kyle Davis
- Liangyu Qian
- Mark M Root
- Marm Dixit
- Matthew S Chambers
- Mengdawn Cheng
- Mengjia Tang
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- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Tyler Smith
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xianhui Zhao
- Yang Liu
- Yanli Wang
- Yasemin Kaygusuz
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhenglai Shen
- Zhili Feng

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.

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

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.