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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
- Mike Zach
- Sumit Bahl
- Alice Perrin
- Andres Marquez Rossy
- Andrew F May
- Annetta Burger
- Anton Ievlev
- Arpan Biswas
- Ben Garrison
- Brad Johnson
- Bruce Moyer
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debjani Pal
- Debraj De
- Gautam Malviya Thakur
- Gerd Duscher
- Gerry Knapp
- Hsin Wang
- James Gaboardi
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- Jesse McGaha
- John Lindahl
- Jovid Rakhmonov
- Justin Griswold
- Kevin Sparks
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Liz McBride
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nedim Cinbiz
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Peeyush Nandwana
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Sandra Davern
- Stephen Jesse
- Sumner Harris
- Sunyong Kwon
- Todd Thomas
- Tony Beard
- Utkarsh Pratiush
- Xiuling Nie
- Ying Yang

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

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

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

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 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.

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

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.