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Researcher
- Stephen M Killough
- Vincent Paquit
- Akash Jag Prasad
- Alex Roschli
- Bryan Maldonado Puente
- Calen Kimmell
- Canhai Lai
- Chris Tyler
- Clay Leach
- Corey Cooke
- Costas Tsouris
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- James Haley
- James Parks II
- Jaydeep Karandikar
- Jeremy Malmstead
- Kitty K Mccracken
- Nolan Hayes
- Oluwafemi Oyedeji
- Peter Wang
- Philip Boudreaux
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Soydan Ozcan
- Tyler Smith
- Vladimir Orlyanchik
- Xianhui Zhao
- Zackary Snow

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 use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.

This invention is about a multifunctional structured packing device that can simultaneously facilitate heat and mass transfer in packed distillation, absorption, and liquid extraction columns, as well as in multiphase reactors.