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Researcher
- Chris Tyler
- Justin West
- Kyle Gluesenkamp
- Ritin Mathews
- Bo Shen
- Chad Steed
- David Olvera Trejo
- J.R. R Matheson
- Jaydeep Karandikar
- Junghoon Chae
- Melanie Moses-DeBusk Debusk
- Scott Smith
- Travis Humble
- Akash Jag Prasad
- Brian Gibson
- Brian Post
- Calen Kimmell
- Dhruba Deka
- Emma Betters
- Greg Corson
- James Manley
- Jesse Heineman
- John Potter
- Josh B Harbin
- Navin Kumar
- Samudra Dasgupta
- Sreshtha Sinha Majumdar
- Tony L Schmitz
- Tugba Turnaoglu
- Vladimir Orlyanchik
- Xiaobing Liu
- Yeonshil Park
- Yifeng Hu

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.

The invention describes a configuration of dishwasher using thermoelectric heat pumps that can accomplish energy savings and enhanced drying performance.

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

Develop an innovative refrigerator having a thermoelectric cooler cascaded with a regular refrigerator compression system. the TE cooler dedicatedly controls the temperature in a freezer compartment.

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.

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.

Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.

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