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Researcher
- Rama K Vasudevan
- Rafal Wojda
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Prasad Kandula
- Adam Willoughby
- Kyle Kelley
- Rishi Pillai
- Vandana Rallabandi
- Alex Plotkowski
- Anton Ievlev
- Arpan Biswas
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Christopher Fancher
- Gerd Duscher
- Jiheon Jun
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marcio Magri Kimpara
- Marie Romedenne
- Marti Checa Nualart
- Mostak Mohammad
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Omer Onar
- Praveen Kumar
- Priyanshi Agrawal
- Sai Mani Prudhvi Valleti
- Shajjad Chowdhury
- Stephen Jesse
- Subho Mukherjee
- Suman Debnath
- Sumner Harris
- Utkarsh Pratiush
- Yong Chae Lim
- 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

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

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

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.

An ORNL invention proposes using 3D printing to make conductors with space-filling thin-wall cross sections. Space-filling thin-wall profiles will maximize the conductor volume while restricting the path for eddy currents induction.

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

The invention is related to the implementation of an bi-directional and isolated electric vehicle charger. The bidirectionality allows the electric vehicles to support the grid in case of disturbances thereby reducing the stress on the existing infrastructure.