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Researcher
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Alex Walters
- Kyle Kelley
- Rama K Vasudevan
- Brian Gibson
- Joshua Vaughan
- Luke Meyer
- Sergei V Kalinin
- Soydan Ozcan
- Stephen Jesse
- Udaya C Kalluri
- William Carter
- Xianhui Zhao
- Akash Jag Prasad
- Alex Roschli
- Amit Shyam
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Bogdan Dryzhakov
- Brian Post
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Dali Wang
- Erin Webb
- Evin Carter
- Gordon Robertson
- Halil Tekinalp
- Hoyeon Jeon
- Huixin (anna) Jiang
- J.R. R Matheson
- Jamieson Brechtl
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jesse Heineman
- Jewook Park
- Jian Chen
- John Potter
- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Kitty K Mccracken
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Mengdawn Cheng
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Ondrej Dyck
- Paula Cable-Dunlap
- Riley Wallace
- Ritin Mathews
- Saban Hus
- Sanjita Wasti
- Steven Randolph
- Tyler Smith
- Vincent Paquit
- Vladimir Orlyanchik
- Wei Zhang
- Xiaohan Yang
- Yongtao Liu
- Zhili Feng

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.

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 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

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

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.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.