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Researcher
- Beth L Armstrong
- Jun Qu
- Sam Hollifield
- Alex Plotkowski
- Amit Shyam
- Chad Steed
- Corson Cramer
- Hongbin Sun
- James A Haynes
- Junghoon Chae
- Meghan Lamm
- Mingyan Li
- Prashant Jain
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Travis Humble
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- Ben Lamm
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- Christopher Ledford
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- Ilias Belharouak
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- Jovid Rakhmonov
- Kevin Spakes
- Khryslyn G Araño
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Marm Dixit
- Mary A Adkisson
- Matthew S Chambers
- Michael Kirka
- Nance Ericson
- Nancy Dudney
- Nate See
- Nicholas Richter
- Nithin Panicker
- Oscar Martinez
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Raymond Borges Hink
- Rob Root
- Ruhul Amin
- Samudra Dasgupta
- Sergiy Kalnaus
- Shajjad Chowdhury
- Srikanth Yoginath
- Sunyong Kwon
- T Oesch
- Tolga Aytug
- Trevor Aguirre
- Varisara Tansakul
- Vishaldeep Sharma
- Vittorio Badalassi
- Yarom Polsky
- Ying Yang
- Yiyu Wang

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 invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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).