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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Srikanth Yoginath
- James J Nutaro
- Kyle Kelley
- Pratishtha Shukla
- Sudip Seal
- Ali Passian
- Anton Ievlev
- Arpan Biswas
- Callie Goetz
- Christopher Hobbs
- Eddie Lopez Honorato
- Fred List III
- Gerd Duscher
- Harper Jordan
- Joel Asiamah
- Joel Dawson
- Keith Carver
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Kurley III
- Nance Ericson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Richard Howard
- Rodney D Hunt
- Ryan Heldt
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Thomas Butcher
- Tyler Gerczak
- Utkarsh Pratiush
- Varisara Tansakul

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

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.

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

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.

The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.