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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Mingyan Li
- Sam Hollifield
- Alex Roschli
- Anton Ievlev
- Arpan Biswas
- Brian Weber
- Erin Webb
- Evin Carter
- Gerd Duscher
- Isaac Sikkema
- Jeremy Malmstead
- Joseph Olatt
- Kevin Spakes
- Kitty K Mccracken
- Kunal Mondal
- Liam Collins
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Mary A Adkisson
- Mengdawn Cheng
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Oscar Martinez
- Paula Cable-Dunlap
- Sai Mani Prudhvi Valleti
- Soydan Ozcan
- Stephen Jesse
- Sumner Harris
- T Oesch
- Tyler Smith
- Utkarsh Pratiush
- Xianhui Zhao

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

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.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.