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Researcher
- Amit K Naskar
- Kyle Kelley
- Rama K Vasudevan
- Sam Hollifield
- Chad Steed
- Jaswinder Sharma
- Junghoon Chae
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- Michael Toomey
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- Ali Passian
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Arit Das
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- Hoyeon Jeon
- Huixin (anna) Jiang
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- Jewook Park
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- Liam Collins
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- Mahim Mathur
- Mark Provo II
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- Richard L. Reed
- Robert E Norris Jr
- Rob Root
- Saban Hus
- Samudra Dasgupta
- Santanu Roy
- Srikanth Yoginath
- Steven Randolph
- Sumit Gupta
- T Oesch
- Tony Beard
- Uvinduni Premadasa
- Vandana Rallabandi
- Varisara Tansakul
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Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.