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Researcher
- Radu Custelcean
- Costas Tsouris
- Bruce Moyer
- Gyoung Gug Jang
- Jeffrey Einkauf
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Amir K Ziabari
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- Gs Jung
- Kuntal De
- Nikki Thiele
- Philip Bingham
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- Santa Jansone-Popova
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- Laetitia H Delmau
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- Mark M Root
- Md Faizul Islam
- Michael Kirka
- Mina Yoon
- Obaid Rahman
- Parans Paranthaman
- Philip Boudreaux
- Santanu Roy
- Saurabh Prakash Pethe
- Subhamay Pramanik
- Uvinduni Premadasa
- Vera Bocharova
- Xiaohan Yang
- Yingzhong Ma

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

The invention teaches a method for separating uranium and the transuranic actinides neptunium, plutonium, and americium from nitric acid solutions by co-crystallization upon lowering the temperature from 60 C to 20 C or lower.

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.

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

This invention describes a new class of amphiphilic chelators (extractants) that can selectively separate large, light rare earth elements from heavy, small rare earth elements in solvent extraction schemes.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

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

ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.