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Researcher
- Andrzej Nycz
- Chris Masuo
- Kyle Gluesenkamp
- Peter Wang
- Alex Walters
- Yong Chae Lim
- Zhili Feng
- Bo Shen
- Brian Gibson
- Brian Post
- Jian Chen
- Joshua Vaughan
- Luke Meyer
- Melanie Moses-DeBusk Debusk
- Rangasayee Kannan
- Udaya C Kalluri
- Wei Zhang
- William Carter
- Adam Stevens
- Akash Jag Prasad
- Amit Shyam
- Bryan Lim
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Dali Wang
- Dhruba Deka
- Gordon Robertson
- J.R. R Matheson
- James Manley
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Potter
- Navin Kumar
- Peeyush Nandwana
- Priyanshi Agrawal
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sreshtha Sinha Majumdar
- Sudarsanam Babu
- Tomas Grejtak
- Tugba Turnaoglu
- Vincent Paquit
- Vladimir Orlyanchik
- William Peter
- Xiaobing Liu
- Xiaohan Yang
- Yeonshil Park
- Yifeng Hu
- Yiyu Wang
- Yukinori Yamamoto

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

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.

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.

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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.