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Researcher
- Amit Shyam
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Alex Plotkowski
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Srikanth Yoginath
- James A Haynes
- James J Nutaro
- Kyle Kelley
- Pratishtha Shukla
- Ryan Dehoff
- Sudip Seal
- Sumit Bahl
- Adam Stevens
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Anton Ievlev
- Arpan Biswas
- Brian Post
- Christopher Fancher
- Dean T Pierce
- Gerd Duscher
- Gerry Knapp
- Gordon Robertson
- Harper Jordan
- Jay Reynolds
- Jeff Brookins
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nance Ericson
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Stephen Jesse
- Sudarsanam Babu
- Sumner Harris
- Sunyong Kwon
- Utkarsh Pratiush
- Varisara Tansakul
- William Peter
- Ying Yang
- Yukinori Yamamoto

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 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.

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

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.

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.

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