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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Venugopal K Varma
- Blane Fillingim
- Brian Post
- Kyle Kelley
- Lauren Heinrich
- Mahabir Bhandari
- Olga S Ovchinnikova
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Adam Aaron
- Alexander I Wiechert
- Anton Ievlev
- Arpan Biswas
- Charles D Ottinger
- Costas Tsouris
- Debangshu Mukherjee
- Gerd Duscher
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Neus Domingo Marimon
- Radu Custelcean
- Ramanan Sankaran
- Rose Montgomery
- Sai Mani Prudhvi Valleti
- Sergey Smolentsev
- Stephen Jesse
- Steven J Zinkle
- Sumner Harris
- Thomas R Muth
- Utkarsh Pratiush
- Vimal Ramanuj
- Wenjun Ge
- Yanli Wang
- Ying Yang
- Yutai Kato

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

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

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.

Fusion reactors need efficient systems to create tritium fuel and handle intense heat and radiation. Traditional liquid metal systems face challenges like high pressure losses and material breakdown in strong magnetic fields.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.