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Researcher
- Steve Bullock
- Corson Cramer
- Ahmed Hassen
- Greg Larsen
- James Klett
- Nadim Hmeidat
- Srikanth Yoginath
- Trevor Aguirre
- Vlastimil Kunc
- James J Nutaro
- Pratishtha Shukla
- Soydan Ozcan
- Steven Guzorek
- Sudip Seal
- Tyler Smith
- Xianhui Zhao
- Alex Roschli
- Ali Passian
- Beth L Armstrong
- Brittany Rodriguez
- Bryan Lim
- Charlie Cook
- Christopher Hershey
- Christopher Ledford
- Craig Blue
- Dali Wang
- Dan Coughlin
- Daniel Rasmussen
- David J Mitchell
- David Nuttall
- Dustin Gilmer
- Erin Webb
- Evin Carter
- Halil Tekinalp
- Harper Jordan
- Jeremy Malmstead
- Jian Chen
- Joel Asiamah
- Joel Dawson
- John Lindahl
- Jordan Wright
- Kitty K Mccracken
- Mengdawn Cheng
- Michael Kirka
- Nance Ericson
- Oluwafemi Oyedeji
- Pablo Moriano Salazar
- Paula Cable-Dunlap
- Peeyush Nandwana
- Rangasayee Kannan
- Sana Elyas
- Sanjita Wasti
- Subhabrata Saha
- Tomas Grejtak
- Tomonori Saito
- Tony Beard
- Varisara Tansakul
- Vipin Kumar
- Wei Zhang
- Yiyu Wang
- Zhili Feng

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

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

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.

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.