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Researcher
- Adam M Guss
- Ali Passian
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Joseph Chapman
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Nicholas Peters
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Hsuan-Hao Lu
- Joseph Lukens
- Josh Michener
- Kuntal De
- Kyle Kelley
- Muneer Alshowkan
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Walters
- Anees Alnajjar
- Anton Ievlev
- Arpan Biswas
- Austin Carroll
- Brian Sanders
- Brian Williams
- Chris Masuo
- Claire Marvinney
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Gerald Tuskan
- Gerd Duscher
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Kyle Davis
- Liam Collins
- Liangyu Qian
- Mahshid Ahmadi-Kalinina
- Mariam Kiran
- Marti Checa Nualart
- Nance Ericson
- Nandhini Ashok
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Paul Abraham
- Sai Mani Prudhvi Valleti
- Serena Chen
- Srikanth Yoginath
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Varisara Tansakul
- Vincent Paquit
- 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.

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.

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

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

This invention addresses a key challenge in quantum communication networks by developing a controlled-NOT (CNOT) gate that operates between two degrees of freedom (DoFs) within a single photon: polarization and frequency.