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Researcher
- Tomonori Saito
- Adam M Guss
- Ali Passian
- Anisur Rahman
- Hsuan-Hao Lu
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- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Som Shrestha
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- Vincent Paquit
- Vivek Sujan
- Wenjun Ge
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- Yasemin Kaygusuz
- Ying Yang
- Yiyu Wang

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.

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.

PET is used in many commercial products, but only a fraction is mechanically recycled, and even less is chemically recycled.

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.

Developed a novel energy efficient, cost-effective, environmentally friendly process for separation of lithium from end-of-life lithium-ion batteries.

This work presents a novel method for upcycling polyethylene terephthalate (PET) waste into sustainable vitrimer materials. By combining bio-based crosslinkers with our PET-based macromonomer, we developed dynamically bonded plastics that are renewably sourced.

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.