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Researcher
- Ilias Belharouak
- Beth L Armstrong
- Jun Qu
- Sam Hollifield
- Alex Plotkowski
- Ali Abouimrane
- Amit Shyam
- Chad Steed
- Corson Cramer
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- Junghoon Chae
- Marm Dixit
- Meghan Lamm
- Mingyan Li
- Ruhul Amin
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Travis Humble
- Aaron Werth
- Alice Perrin
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- Ben Lamm
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- Bryan Lim
- Christopher Ledford
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- Emilio Piesciorovsky
- Ethan Self
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- Georgios Polyzos
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- Harper Jordan
- Hongbin Sun
- Isaac Sikkema
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- Jason Jarnagin
- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- Jordan Wright
- Joseph Olatt
- Jovid Rakhmonov
- Junbin Choi
- Kevin Spakes
- Khryslyn G Araño
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Lu Yu
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Matthew S Chambers
- Michael Kirka
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Oscar Martinez
- Peeyush Nandwana
- Pradeep Ramuhalli
- Rangasayee Kannan
- Raymond Borges Hink
- Rob Root
- Samudra Dasgupta
- Sergiy Kalnaus
- Shajjad Chowdhury
- Srikanth Yoginath
- Sunyong Kwon
- T Oesch
- Tolga Aytug
- Trevor Aguirre
- Varisara Tansakul
- Yaocai Bai
- Yarom Polsky
- Ying Yang
- Yiyu Wang
- Zhijia Du

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).

This invention describes a new combustion synthesis route to produce high purity, high performance DRX cathodes for next-generation Li-ion batteries.