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Researcher
- Chris Tyler
- Justin West
- Ritin Mathews
- Sam Hollifield
- Yong Chae Lim
- Brian Post
- Chad Steed
- David Olvera Trejo
- J.R. R Matheson
- Jaydeep Karandikar
- Junghoon Chae
- Mingyan Li
- Rangasayee Kannan
- Scott Smith
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- Zhili Feng
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- Akash Jag Prasad
- Ali Passian
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- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Nance Ericson
- Oscar Martinez
- Peeyush Nandwana
- Priyanshi Agrawal
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Srikanth Yoginath
- Sudarsanam Babu
- T Oesch
- Tomas Grejtak
- Tony L Schmitz
- Varisara Tansakul
- Vladimir Orlyanchik
- Wei Zhang
- 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.

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

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

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.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

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.

In additive manufacturing large stresses are induced in the build plate and part interface. A result of these stresses are deformations in the build plate and final component.