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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Mike Zach
- Andrew F May
- Anton Ievlev
- Arpan Biswas
- Ben Garrison
- Brad Johnson
- Bruce Moyer
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debjani Pal
- Gerd Duscher
- Hsin Wang
- Isaac Sikkema
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- John Lindahl
- Joseph Olatt
- Justin Griswold
- Kunal Mondal
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Mingyan Li
- Nedim Cinbiz
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oscar Martinez
- Padhraic L Mulligan
- Sai Mani Prudhvi Valleti
- Sam Hollifield
- Sandra Davern
- Stephen Jesse
- Sumner Harris
- Tony Beard
- Utkarsh Pratiush

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

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

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.

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.