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Researcher
- Beth L Armstrong
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Jun Qu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Alex Plotkowski
- Amit Shyam
- Corson Cramer
- Hongbin Sun
- James A Haynes
- Kyle Kelley
- Meghan Lamm
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Alice Perrin
- Anton Ievlev
- Arpan Biswas
- Ben Lamm
- Bryan Lim
- Christopher Ledford
- David J Mitchell
- Ethan Self
- Gabriel Veith
- Gerd Duscher
- Gerry Knapp
- Ilias Belharouak
- James Klett
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marm Dixit
- Marti Checa Nualart
- Matthew S Chambers
- Michael Kirka
- Nancy Dudney
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Sergiy Kalnaus
- Shajjad Chowdhury
- Stephen Jesse
- Sumner Harris
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Utkarsh Pratiush
- Vishaldeep Sharma
- Ying Yang
- Yiyu Wang

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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 invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).