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Researcher
- Amit K Naskar
- Srikanth Yoginath
- Adam Willoughby
- Chad Steed
- James J Nutaro
- Jaswinder Sharma
- Junghoon Chae
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Pratishtha Shukla
- Rishi Pillai
- Sudip Seal
- Travis Humble
- Ali Passian
- Arit Das
- Benjamin L Doughty
- Brandon Johnston
- Bruce A Pint
- Bryan Lim
- Charles Hawkins
- Christopher Bowland
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Harper Jordan
- Holly Humphrey
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Marie Romedenne
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Priyanshi Agrawal
- Rangasayee Kannan
- Robert E Norris Jr
- Samudra Dasgupta
- Santanu Roy
- Sumit Gupta
- Tomas Grejtak
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Yiyu Wang
- Yong Chae Lim
- Zhili Feng

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.

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.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

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.

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.