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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Yong Chae Lim
- Edgar Lara-Curzio
- Kyle Kelley
- Rangasayee Kannan
- Steven J Zinkle
- Yanli Wang
- Ying Yang
- Yutai Kato
- Adam Stevens
- Adam Willoughby
- Anton Ievlev
- Arpan Biswas
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Brian Post
- Bruce A Pint
- Bryan Lim
- Charles Hawkins
- Eric Wolfe
- Frederic Vautard
- Gerd Duscher
- Jiheon Jun
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marie Romedenne
- Marti Checa Nualart
- Neus Domingo Marimon
- Nidia Gallego
- Olga S Ovchinnikova
- Peeyush Nandwana
- Priyanshi Agrawal
- Rishi Pillai
- Roger G Miller
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Stephen Jesse
- Sudarsanam Babu
- Sumner Harris
- Tim Graening Seibert
- Tomas Grejtak
- Utkarsh Pratiush
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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

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).

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

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 bonded carbon fiber monolith was made using a coal-based pitch precursor without a binder.

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.