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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Alex Plotkowski
- Amit Shyam
- Kevin M Roccapriore
- Maxim A Ziatdinov
- James A Haynes
- Kyle Kelley
- Sumit Bahl
- Aaron Werth
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Anton Ievlev
- Arpan Biswas
- Emilio Piesciorovsky
- Gary Hahn
- Gerd Duscher
- Gerry Knapp
- Harper Jordan
- Jason Jarnagin
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mark Provo II
- Marti Checa Nualart
- Nance Ericson
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Peeyush Nandwana
- Raymond Borges Hink
- Rob Root
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Srikanth Yoginath
- Stephen Jesse
- Sumner Harris
- Sunyong Kwon
- Utkarsh Pratiush
- Varisara Tansakul
- Yarom Polsky
- Ying Yang

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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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 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.

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

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.