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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Amit K Naskar
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Jaswinder Sharma
- Kyle Kelley
- Logan Kearney
- Michael Toomey
- Mike Zach
- Nihal Kanbargi
- Andrew F May
- Anton Ievlev
- Arit Das
- Arpan Biswas
- Ben Garrison
- Benjamin L Doughty
- Brad Johnson
- Bruce Moyer
- Charlie Cook
- Christopher Bowland
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debjani Pal
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gerd Duscher
- Holly Humphrey
- Hsin Wang
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- John Lindahl
- Justin Griswold
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nedim Cinbiz
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Robert E Norris Jr
- Sai Mani Prudhvi Valleti
- Sandra Davern
- Santanu Roy
- Stephen Jesse
- Sumit Gupta
- Sumner Harris
- Tony Beard
- Utkarsh Pratiush
- Uvinduni Premadasa
- Vera Bocharova

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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

A novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.

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.