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Researcher
- Vivek Sujan
- Adam M Guss
- Andrzej Nycz
- Chris Masuo
- Omer Onar
- Adam Siekmann
- Alex Walters
- Biruk A Feyissa
- Carrie Eckert
- Erdem Asa
- Josh Michener
- Kuntal De
- Luke Meyer
- Subho Mukherjee
- Udaya C Kalluri
- Vilmos Kertesz
- William Carter
- Xiaohan Yang
- Alexander I Kolesnikov
- Alexei P Sokolov
- Austin Carroll
- Bekki Mills
- Brian Sanders
- Bruce Hannan
- Clay Leach
- Daniel Jacobson
- Dave Willis
- Debjani Pal
- Gerald Tuskan
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Isabelle Snyder
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- John Wenzel
- Joshua Vaughan
- Keju An
- Kyle Davis
- Liangyu Qian
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Nandhini Ashok
- Paul Abraham
- Peter Wang
- Polad Shikhaliev
- Serena Chen
- Shajjad Chowdhury
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vincent Paquit
- Vladislav N Sedov
- Yacouba Diawara
- Yang Liu
- Yasemin Kaygusuz
- Yun Liu

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.

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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 growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

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