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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Hongbin Sun
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- Kyle Kelley
- Maxim A Ziatdinov
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- Govindarajan Muralidharan
- Gs Jung
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- Hoyeon Jeon
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- Huixin (anna) Jiang
- Ian Greenquist
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- Ilias Belharouak
- Isaac Sikkema
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- Jamieson Brechtl
- Jewook Park
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- Jong K Keum
- Joseph Olatt
- Junghyun Bae
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- Kyle Gluesenkamp
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- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
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- Md Inzamam Ul Haque
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- Mingyan Li
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- Richard Howard
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- Saban Hus
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- Sam Hollifield
- Steven Randolph
- Sumner Harris
- Thien D. Nguyen
- Thomas Butcher
- Thomas R Muth
- Ugur Mertyurek
- Utkarsh Pratiush
- Vandana Rallabandi
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- Zhiming Gao

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.

Current fuel used in nuclear light water reactors that generate energy for the grid use a solid form of uranium that is heated and processed to form pellets.

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.