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- Tomonori Saito
- Sheng Dai
- Andrzej Nycz
- Radu Custelcean
- Chris Masuo
- Costas Tsouris
- Parans Paranthaman
- Ryan Dehoff
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- Bishnu Prasad Thapaliya
- Diana E Hun
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- Zackary Snow

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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,

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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

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

The technologies provides for regeneration of anion-exchange resin.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.