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Researcher
- Peeyush Nandwana
- Kyle Kelley
- Rama K Vasudevan
- Amit Shyam
- Blane Fillingim
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- Rangasayee Kannan
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- Huixin (anna) Jiang
- James Gaboardi
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- Jesse McGaha
- Jewook Park
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- Kai Li
- Kashif Nawaz
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- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Liz McBride
- Luke Sadergaski
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nedim Cinbiz
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Ondrej Dyck
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- Peter Wang
- Ryan Dehoff
- Saban Hus
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- Tim Graening Seibert
- Todd Thomas
- Tomas Grejtak
- Tony Beard
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiuling Nie
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yongtao Liu
- Yutai Kato

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

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

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.