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Researcher
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Alex Plotkowski
- Blane Fillingim
- Brian Post
- Jun Qu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Michael Kirka
- Olga S Ovchinnikova
- Rangasayee Kannan
- Sudarsanam Babu
- Ying Yang
- Yong Chae Lim
- Zhili Feng
- Alice Perrin
- Christopher Ledford
- Corson Cramer
- James A Haynes
- Jian Chen
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- Stephen Jesse
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- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Vincent Paquit
- Wei Zhang
- Yousub Lee
- Adam Stevens
- Ahmed Hassen
- Amir K Ziabari
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Ben Lamm
- Bogdan Dryzhakov
- Brian Fricke
- Bruce A Pint
- Bryan Lim
- Chengyun Hua
- Christopher Fancher
- Christopher Rouleau
- Clay Leach
- Costas Tsouris
- Dali Wang
- David J Mitchell
- David Nuttall
- Dean T Pierce
- Debangshu Mukherjee
- Ethan Self
- Gabor Halasz
- Gabriel Veith
- Gerd Duscher
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Haley
- James Klett
- Jamieson Brechtl
- Jay Reynolds
- Jeff Brookins
- Jewook Park
- Jiaqiang Yan
- Jiheon Jun
- Jong K Keum
- Jordan Wright
- Jovid Rakhmonov
- Kai Li
- Khryslyn G Araño
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marm Dixit
- Marti Checa Nualart
- Matthew S Chambers
- Md Inzamam Ul Haque
- Mina Yoon
- Nancy Dudney
- Neus Domingo Marimon
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- Nickolay Lavrik
- Ondrej Dyck
- Patxi Fernandez-Zelaia
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- Petro Maksymovych
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- Roger G Miller
- Rose Montgomery
- Saban Hus
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- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven J Zinkle
- Steven Randolph
- Sumner Harris
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Utkarsh Pratiush
- Venkatakrishnan Singanallur Vaidyanathan
- Venugopal K Varma
- Vipin Kumar
- Vlastimil Kunc
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xiaobing Liu
- Yan-Ru Lin
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhiming Gao

This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

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

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
Ionic liquids comprising quaternary ammonium and phosphonium cations have been developed as eco-friendly lubricant additives. These additives are tailored for use in environmentally acceptable lubricants (EALs) like polyalkylene glycols, vegetable oils, and synthetic esters.