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Researcher
- Vivek Sujan
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Omer Onar
- Adam Siekmann
- Andrzej Nycz
- Chris Masuo
- Erdem Asa
- Kyle Kelley
- Luke Meyer
- Subho Mukherjee
- William Carter
- Alex Walters
- Anton Ievlev
- Arpan Biswas
- Bruce Hannan
- Gerd Duscher
- Hyeonsup Lim
- Isabelle Snyder
- Joshua Vaughan
- Liam Collins
- Loren L Funk
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Peter Wang
- Polad Shikhaliev
- Sai Mani Prudhvi Valleti
- Shajjad Chowdhury
- Stephen Jesse
- Sumner Harris
- Theodore Visscher
- Utkarsh Pratiush
- Vladislav N Sedov
- Yacouba Diawara

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 growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

This invention presents a multiport converter (MPC) based power supply to charge the 12 V and 24 V auxiliary batteries in heavy duty (HD) fuel cell (FC) electric vehicle (EV) power train.

This invention presents an integrated strategy to reduce end-user electricity costs and grid carbon emissions by efficiently utilizing Distributed Energy Resources (DER) and grid-scale electrical energy storage systems, such as batteries.

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