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Researcher
- Rama K Vasudevan
- Rafal Wojda
- Sergei V Kalinin
- Yongtao Liu
- Isabelle Snyder
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Prasad Kandula
- Emilio Piesciorovsky
- Kyle Kelley
- Subho Mukherjee
- Vandana Rallabandi
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Alex Plotkowski
- Ali Riza Ekti
- Anton Ievlev
- Arpan Biswas
- Christopher Fancher
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerd Duscher
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marcio Magri Kimpara
- Marti Checa Nualart
- Mostak Mohammad
- Neus Domingo Marimon
- Nils Stenvig
- Olga S Ovchinnikova
- Omer Onar
- Ozgur Alaca
- Praveen Kumar
- Raymond Borges Hink
- Sai Mani Prudhvi Valleti
- Shajjad Chowdhury
- Stephen Jesse
- Suman Debnath
- Sumner Harris
- Utkarsh Pratiush
- Viswadeep Lebakula
- Vivek Sujan
- Yarom Polsky

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.

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

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.