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Researcher
- Rama K Vasudevan
- Rafal Wojda
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Prasad Kandula
- Kyle Kelley
- Vandana Rallabandi
- Vincent Paquit
- Akash Jag Prasad
- Alex Plotkowski
- Anton Ievlev
- Arpan Biswas
- Calen Kimmell
- Canhai Lai
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Gerd Duscher
- James Haley
- James Parks II
- Jaydeep Karandikar
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marcio Magri Kimpara
- Marti Checa Nualart
- Mostak Mohammad
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Omer Onar
- Praveen Kumar
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Shajjad Chowdhury
- Stephen Jesse
- Subho Mukherjee
- Suman Debnath
- Sumner Harris
- Utkarsh Pratiush
- Vladimir Orlyanchik
- Zackary Snow

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

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.