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Researcher
- Steve Bullock
- Corson Cramer
- Ahmed Hassen
- Anees Alnajjar
- Greg Larsen
- James Klett
- Nadim Hmeidat
- Trevor Aguirre
- Vlastimil Kunc
- Yong Chae Lim
- Zhili Feng
- Jian Chen
- Nageswara Rao
- Rangasayee Kannan
- Steven Guzorek
- Wei Zhang
- Adam Stevens
- Beth L Armstrong
- Brian Post
- Brittany Rodriguez
- Bryan Lim
- Charlie Cook
- Christopher Hershey
- Christopher Ledford
- Craig A Bridges
- Craig Blue
- Dali Wang
- Dan Coughlin
- Daniel Rasmussen
- David J Mitchell
- David Nuttall
- Dustin Gilmer
- Jiheon Jun
- John Lindahl
- Jordan Wright
- Mariam Kiran
- Michael Kirka
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sana Elyas
- Sarah Graham
- Sheng Dai
- Subhabrata Saha
- Sudarsanam Babu
- Tomas Grejtak
- Tomonori Saito
- Tony Beard
- Tyler Smith
- Vipin Kumar
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

The technology will offer supportless DIW of complex structures using vinyl ester resin, facilitated by multidirectional 6 axis printing.

The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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

The technologies provide additively manufactured thermal protection system.

Reflective and emissive surfaces are designed with heat retention as opposed to the current state of the art oven and furnaces which use non-reflective surfaces. Heat is absorbed and transferred to the exterior of the heated appliances.

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

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.