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Researcher
- Adam M Guss
- Ali Passian
- Rama K Vasudevan
- Ryan Dehoff
- Hsuan-Hao Lu
- Joseph Lukens
- Nicholas Peters
- Peeyush Nandwana
- Sergei V Kalinin
- Yongtao Liu
- Alex Plotkowski
- Amit Shyam
- Blane Fillingim
- Brian Post
- Joseph Chapman
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Muneer Alshowkan
- Olga S Ovchinnikova
- Srikanth Yoginath
- Sudarsanam Babu
- Vincent Paquit
- Alice Perrin
- Andrzej Nycz
- Anees Alnajjar
- Biruk A Feyissa
- Carrie Eckert
- Chad Steed
- Clay Leach
- Costas Tsouris
- Gs Jung
- Gyoung Gug Jang
- James A Haynes
- James J Nutaro
- Josh Michener
- Junghoon Chae
- Kashif Nawaz
- Kuntal De
- Lauren Heinrich
- Michael Kirka
- Pratishtha Shukla
- Radu Custelcean
- Rangasayee Kannan
- Sergiy Kalnaus
- Stephen Jesse
- Sudip Seal
- Sumit Bahl
- Thomas Feldhausen
- Travis Humble
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Ying Yang
- Yousub Lee
- Aaron Werth
- Adam Siekmann
- Adam Stevens
- Ahmed Hassen
- Alexander I Wiechert
- Alex Miloshevsky
- Alex Roschli
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- Amir K Ziabari
- Amy Moore
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
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- Beth L Armstrong
- Bogdan Dryzhakov
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- Debangshu Mukherjee
- Debjani Pal
- Emilio Piesciorovsky
- Erin Webb
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- Harper Jordan
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- Kyle Gluesenkamp
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- Mahshid Ahmadi-Kalinina
- Mariam Kiran
- Marti Checa Nualart
- Md Inzamam Ul Haque
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- Patxi Fernandez-Zelaia
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- Varisara Tansakul
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- William Peter
- Xianhui Zhao
- Xiaobing Liu
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- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang
- Yukinori Yamamoto
- Zhiming Gao

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.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Technologies directed to polarization agnostic continuous variable quantum key distribution are described.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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 development of quantum networking requires architectures capable of dynamically reconfigurable entanglement distribution to meet diverse user needs and ensure tolerance against transmission disruptions.

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.

Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.