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Researcher
- Chris Tyler
- Sheng Dai
- Adam M Guss
- Justin West
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Ritin Mathews
- Zhenzhen Yang
- Craig A Bridges
- Shannon M Mahurin
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- David Olvera Trejo
- Edgar Lara-Curzio
- Ilja Popovs
- J.R. R Matheson
- Jaydeep Karandikar
- Josh Michener
- Kuntal De
- Li-Qi Qiu
- Saurabh Prakash Pethe
- Scott Smith
- Tolga Aytug
- Udaya C Kalluri
- Uday Vaidya
- Vilmos Kertesz
- Xiaohan Yang
- Ahmed Hassen
- Akash Jag Prasad
- Alexei P Sokolov
- Alex Walters
- Anees Alnajjar
- Austin Carroll
- Ben Lamm
- Beth L Armstrong
- Brian Gibson
- Brian Post
- Brian Sanders
- Bruce Moyer
- Calen Kimmell
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Emma Betters
- Eric Wolfe
- Frederic Vautard
- Gerald Tuskan
- Greg Corson
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jayanthi Kumar
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Jesse Heineman
- Joanna Tannous
- John F Cahill
- John Potter
- Josh B Harbin
- Kaustubh Mungale
- Kyle Davis
- Liangyu Qian
- Meghan Lamm
- Nageswara Rao
- Nandhini Ashok
- Nidia Gallego
- Paul Abraham
- Phillip Halstenberg
- Santa Jansone-Popova
- Serena Chen
- Shajjad Chowdhury
- Subhamay Pramanik
- Tao Hong
- Tomonori Saito
- Tony L Schmitz
- Vincent Paquit
- Vladimir Orlyanchik
- Vlastimil Kunc
- Yang Liu
- Yasemin Kaygusuz

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.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

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.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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.

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.