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Researcher
- Adam M Guss
- Kyle Kelley
- Rama K Vasudevan
- Alexey Serov
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Jaswinder Sharma
- Josh Michener
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- Vilmos Kertesz
- Xiang Lyu
- Xiaohan Yang
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- Amit K Naskar
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
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- Bogdan Dryzhakov
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- Hoyeon Jeon
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- Isaiah Dishner
- James Szybist
- Jamieson Brechtl
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Jewook Park
- Joanna Tannous
- John F Cahill
- Jonathan Willocks
- Junbin Choi
- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Khryslyn G Araño
- Kyle Davis
- Liam Collins
- Liangyu Qian
- Logan Kearney
- Marm Dixit
- Marti Checa Nualart
- Maxim A Ziatdinov
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nandhini Ashok
- Neus Domingo Marimon
- Nihal Kanbargi
- Olga S Ovchinnikova
- Ondrej Dyck
- Paul Abraham
- Ritu Sahore
- Saban Hus
- Serena Chen
- Steven Randolph
- Todd Toops
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz
- Yongtao 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.

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.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

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 ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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