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Researcher
- Radu Custelcean
- Costas Tsouris
- Bruce Moyer
- Gyoung Gug Jang
- Jeffrey Einkauf
- Yong Chae Lim
- Zhili Feng
- Andrzej Nycz
- Benjamin L Doughty
- Gs Jung
- Jian Chen
- Kuntal De
- Nikki Thiele
- Rangasayee Kannan
- Santa Jansone-Popova
- Udaya C Kalluri
- Wei Zhang
- Adam Stevens
- Alexander I Wiechert
- Alex Walters
- Biruk A Feyissa
- Brian Post
- Bryan Lim
- Chris Masuo
- Clay Leach
- Dali Wang
- Debjani Pal
- Ilja Popovs
- Jayanthi Kumar
- Jennifer M Pyles
- Jiheon Jun
- Jong K Keum
- Laetitia H Delmau
- Luke Sadergaski
- Md Faizul Islam
- Mina Yoon
- Parans Paranthaman
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Santanu Roy
- Sarah Graham
- Saurabh Prakash Pethe
- Subhamay Pramanik
- Sudarsanam Babu
- Tomas Grejtak
- Uvinduni Premadasa
- Vera Bocharova
- Vincent Paquit
- William Peter
- Xiaohan Yang
- Yingzhong Ma
- Yiyu Wang
- Yukinori Yamamoto

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.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

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