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Researcher
- Ilias Belharouak
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
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- Jun Qu
- Rangasayee Kannan
- Sam Hollifield
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- Chad Steed
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- Junghoon Chae
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- Marm Dixit
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- Mingyan Li
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- Georgios Polyzos
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- Glenn R Romanoski
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- Govindarajan Muralidharan
- Harper Jordan
- Hongbin Sun
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- Jaswinder Sharma
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- Jiheon Jun
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- Joseph Olatt
- Jovid Rakhmonov
- Junbin Choi
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- 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
- Peter Wang
- Pradeep Ramuhalli
- Priyanshi Agrawal
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Rose Montgomery
- Samudra Dasgupta
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Srikanth Yoginath
- Steven J Zinkle
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- T Oesch
- Tolga Aytug
- Trevor Aguirre
- Varisara Tansakul
- Venugopal K Varma
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Yaocai Bai
- Yarom Polsky
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhijia Du
- Zhili Feng

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 lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.