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Researcher
- Sam Hollifield
- Yong Chae Lim
- Zhili Feng
- Chad Steed
- Jian Chen
- Junghoon Chae
- Mingyan Li
- Rangasayee Kannan
- Travis Humble
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- Dali Wang
- Debjani Pal
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- Harper Jordan
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- Jason Jarnagin
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- Jennifer M Pyles
- Jiheon Jun
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- Kunal Mondal
- Kuntal De
- Laetitia H Delmau
- Lilian V Swann
- Luke Koch
- Luke Sadergaski
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Mike Zach
- Nance Ericson
- Oscar Martinez
- Padhraic L Mulligan
- Peeyush Nandwana
- Priyanshi Agrawal
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sandra Davern
- Sarah Graham
- Srikanth Yoginath
- Sudarsanam Babu
- T Oesch
- Tomas Grejtak
- Varisara Tansakul
- William Peter
- Yarom Polsky
- Yiyu Wang
- Yukinori Yamamoto

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

Modern automobiles are operated by small computers that communicate critical information via a broadcast-based network architecture called controller area network (CAN).

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.