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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Alex Plotkowski
- Amit Shyam
- Kevin M Roccapriore
- Maxim A Ziatdinov
- William Carter
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chris Masuo
- James A Haynes
- Kyle Kelley
- Luke Meyer
- Ryan Dehoff
- Sumit Bahl
- Adam Stevens
- Alex Walters
- Alice Perrin
- Amy Elliott
- Andres Marquez Rossy
- Anton Ievlev
- Arpan Biswas
- Cameron Adkins
- Erin Webb
- Evin Carter
- Gerd Duscher
- Gerry Knapp
- Isha Bhandari
- Jeremy Malmstead
- Joshua Vaughan
- Jovid Rakhmonov
- Kitty K Mccracken
- Liam Collins
- Liam White
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Michael Borish
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Soydan Ozcan
- Stephen Jesse
- Sudarsanam Babu
- Sumner Harris
- Sunyong Kwon
- Tyler Smith
- Utkarsh Pratiush
- William Peter
- Xianhui Zhao
- 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 invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.