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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Amit K Naskar
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Jaswinder Sharma
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Anton Ievlev
- Arit Das
- Arpan Biswas
- Benjamin L Doughty
- Bogdan Dryzhakov
- Christopher Bowland
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gerd Duscher
- Holly Humphrey
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Robert E Norris Jr
- Sai Mani Prudhvi Valleti
- Santanu Roy
- Stephen Jesse
- Steven Randolph
- Sumit Gupta
- Sumner Harris
- 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.

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.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

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.

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.