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Researcher
- Amit Shyam
- Alex Plotkowski
- Kyle Kelley
- Rama K Vasudevan
- Srikanth Yoginath
- Chad Steed
- James A Haynes
- James J Nutaro
- Junghoon Chae
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Sergei V Kalinin
- Stephen Jesse
- Sudip Seal
- Sumit Bahl
- Travis Humble
- Adam Stevens
- Alice Perrin
- Ali Passian
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Bogdan Dryzhakov
- Brian Post
- Bryan Lim
- Christopher Fancher
- Dean T Pierce
- Gerry Knapp
- Gordon Robertson
- Harper Jordan
- Hoyeon Jeon
- Huixin (anna) Jiang
- Jamieson Brechtl
- Jay Reynolds
- Jeff Brookins
- Jewook Park
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nance Ericson
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Ondrej Dyck
- Pablo Moriano Salazar
- Peter Wang
- Roger G Miller
- Saban Hus
- Samudra Dasgupta
- Sarah Graham
- Steven Randolph
- Sudarsanam Babu
- Sunyong Kwon
- Tomas Grejtak
- Varisara Tansakul
- William Peter
- Ying Yang
- Yiyu Wang
- Yongtao Liu
- Yukinori Yamamoto

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

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.

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.