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Researcher
- Adam M Guss
- Amit Shyam
- Alex Plotkowski
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- James A Haynes
- Josh Michener
- Kuntal De
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- Xiaohan Yang
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- Austin Carroll
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- Hsin Wang
- Ilenne Del Valle Kessra
- Isaiah Dishner
- James Klett
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- Jay Reynolds
- Jeff Brookins
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- Jeffrey Einkauf
- Jennifer M Pyles
- Jerry Parks
- Joanna Tannous
- John F Cahill
- John Lindahl
- Jovid Rakhmonov
- Justin Griswold
- Kyle Davis
- Laetitia H Delmau
- Liangyu Qian
- Luke Sadergaski
- Nandhini Ashok
- Nedim Cinbiz
- Nicholas Richter
- Padhraic L Mulligan
- Paul Abraham
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Sandra Davern
- Sarah Graham
- Serena Chen
- Sudarsanam Babu
- Sunyong Kwon
- Tony Beard
- Vincent Paquit
- William Peter
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang
- Yukinori Yamamoto

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.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

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.

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.