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Researcher
- Gabriel Veith
- Guang Yang
- Michelle Lehmann
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Beth L Armstrong
- Robert Sacci
- Srikanth Yoginath
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- Ethan Self
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- Jaswinder Sharma
- Nageswara Rao
- Pratishtha Shukla
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Alexandra Moy
- Alexey Serov
- Alice Perrin
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- Anisur Rahman
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- Chanho Kim
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- Femi Omitaomu
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- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Ilias Belharouak
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Jun Yang
- Khryslyn G Araño
- Logan Kearney
- Mariam Kiran
- Matthew S Chambers
- Michael Toomey
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Nihal Kanbargi
- Peeyush Nandwana
- Ryan Dehoff
- Sheng Dai
- Sunyong Kwon
- Varisara Tansakul
- Vera Bocharova
- Xiang Lyu
- Ying Yang

The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

The present invention is a carbon nanofiber composite for use as the cathode matrix in an alkali-metal polysulfide flow battery. The CNF composite demonstrates an improvement in sulfur utilization compared to carbon paper alone.

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.

Process to coat air and or moisture sensitive solid electrolytes for all solid state batteries.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,

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

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 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.

This is a novel approach to enhance the performance and durability of all-solid-state batteries (ASSBs) by focusing on two primary components: the Si anode and the thin electrolyte integration.