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Researcher
- Vivek Sujan
- Radu Custelcean
- Costas Tsouris
- Gyoung Gug Jang
- Jeffrey Einkauf
- Omer Onar
- Srikanth Yoginath
- Adam Siekmann
- Benjamin L Doughty
- Bruce Moyer
- Erdem Asa
- Gs Jung
- James J Nutaro
- Nikki Thiele
- Pratishtha Shukla
- Santa Jansone-Popova
- Subho Mukherjee
- Sudip Seal
- Alexander I Wiechert
- Ali Passian
- Bryan Lim
- Harper Jordan
- Hyeonsup Lim
- Ilja Popovs
- Isabelle Snyder
- Jayanthi Kumar
- Jennifer M Pyles
- Joel Asiamah
- Joel Dawson
- Jong K Keum
- Laetitia H Delmau
- Luke Sadergaski
- Md Faizul Islam
- Mina Yoon
- Nance Ericson
- Pablo Moriano Salazar
- Parans Paranthaman
- Peeyush Nandwana
- Rangasayee Kannan
- Santanu Roy
- Saurabh Prakash Pethe
- Shajjad Chowdhury
- Subhamay Pramanik
- Tomas Grejtak
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Yingzhong Ma
- Yiyu Wang

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.

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.

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.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.