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Researcher
- Adam M Guss
- Ryan Dehoff
- Vincent Paquit
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Clay Leach
- Hongbin Sun
- Josh Michener
- Kuntal De
- Michael Kirka
- Prashant Jain
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Adam Stevens
- Ahmed Hassen
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- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Andrew F May
- Austin Carroll
- Ben Garrison
- Benjamin Manard
- Blane Fillingim
- Brad Johnson
- Brandon A Wilson
- Brian Post
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- Callie Goetz
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- Chris Masuo
- Christopher Hobbs
- Christopher Ledford
- Costas Tsouris
- Daniel Jacobson
- David Nuttall
- Debjani Pal
- Eddie Lopez Honorato
- Erin Webb
- Evin Carter
- Fred List III
- Gerald Tuskan
- Govindarajan Muralidharan
- Hsin Wang
- Ian Greenquist
- Ilenne Del Valle Kessra
- Ilias Belharouak
- Isaac Sikkema
- Isaiah Dishner
- James Haley
- Jay D Huenemann
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Joanna Mcfarlane
- Joanna Tannous
- John F Cahill
- Jonathan Willocks
- Joseph Olatt
- Keith Carver
- Kitty K Mccracken
- Kunal Mondal
- Kyle Davis
- Liangyu Qian
- Mahim Mathur
- Matt Kurley III
- Matt Vick
- Mengdawn Cheng
- Mike Zach
- Mingyan Li
- Nandhini Ashok
- Nate See
- N Dianne Ezell
- Nedim Cinbiz
- Nithin Panicker
- Oluwafemi Oyedeji
- Oscar Martinez
- Patxi Fernandez-Zelaia
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Philip Bingham
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Richard Howard
- Rodney D Hunt
- Roger G Miller
- Rose Montgomery
- Ruhul Amin
- Ryan Heldt
- Sam Hollifield
- Sarah Graham
- Serena Chen
- Singanallur Venkatakrishnan
- Soydan Ozcan
- Sudarsanam Babu
- Thomas Butcher
- Thomas R Muth
- Tyler Gerczak
- Tyler Smith
- Ugur Mertyurek
- Vandana Rallabandi
- Venugopal K Varma
- Vipin Kumar
- Vishaldeep Sharma
- Vittorio Badalassi
- Vlastimil Kunc
- William Peter
- Xianhui Zhao
- Yan-Ru Lin
- 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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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