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Researcher
- Rama K Vasudevan
- Rafal Wojda
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Prasad Kandula
- Hongbin Sun
- Kyle Kelley
- Prashant Jain
- Vandana Rallabandi
- Alex Plotkowski
- Anton Ievlev
- Arpan Biswas
- Christopher Fancher
- Gerd Duscher
- Ian Greenquist
- Ilias Belharouak
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marcio Magri Kimpara
- Marti Checa Nualart
- Mostak Mohammad
- Nate See
- Neus Domingo Marimon
- Nithin Panicker
- Olga S Ovchinnikova
- Omer Onar
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Praveen Kumar
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Shajjad Chowdhury
- Stephen Jesse
- Subho Mukherjee
- Suman Debnath
- Sumner Harris
- Utkarsh Pratiush
- Vishaldeep Sharma
- Vittorio Badalassi

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 presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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.

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and