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Researcher
- Ryan Dehoff
- Benjamin L Doughty
- Maxim A Ziatdinov
- Sergei V Kalinin
- Yongtao Liu
- Adam Stevens
- Alex Plotkowski
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Brian Post
- Bruce Moyer
- Christopher Rouleau
- Costas Tsouris
- Gyoung Gug Jang
- Ivan Vlassiouk
- Jayanthi Kumar
- Kevin M Roccapriore
- Kyle Kelley
- Md Faizul Islam
- Michael Kirka
- Nikki Thiele
- Olga S Ovchinnikova
- Parans Paranthaman
- Peeyush Nandwana
- Philip Bingham
- Radu Custelcean
- Rama K Vasudevan
- Rangasayee Kannan
- Roger G Miller
- Santanu Roy
- Sarah Graham
- Saurabh Prakash Pethe
- Sudarsanam Babu
- Uvinduni Premadasa
- Venkatakrishnan Singanallur Vaidyanathan
- Vera Bocharova
- Vincent Paquit
- William Peter
- Yingzhong Ma
- Yukinori Yamamoto

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.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

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.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

Demand for lithium is expected to increase drastically due to the use of rechargeable lithium-ion batteries used in portable electronics and electric vehicles. An efficient method to extract lithium is necessary to help meet this demand.

Direct air capture (DAC) technologies that extract carbon dioxide directly from the atmosphere are critical for mitigating effects of climate change.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.