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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Ying Yang
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Alice Perrin
- Kyle Kelley
- Steven J Zinkle
- Yanli Wang
- Yutai Kato
- Alex Plotkowski
- Alex Roschli
- Amit Shyam
- Anton Ievlev
- Arpan Biswas
- Bruce A Pint
- Christopher Ledford
- Costas Tsouris
- Erin Webb
- Evin Carter
- Gerd Duscher
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- James A Haynes
- Jeremy Malmstead
- Jong K Keum
- Kitty K Mccracken
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Michael Kirka
- Mina Yoon
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Radu Custelcean
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Soydan Ozcan
- Stephen Jesse
- Sumit Bahl
- Sumner Harris
- Sunyong Kwon
- Tim Graening Seibert
- Tyler Smith
- Utkarsh Pratiush
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xianhui Zhao
- Yan-Ru Lin

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 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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.