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Researcher
- Peeyush Nandwana
- Amit K Naskar
- Srikanth Yoginath
- Amit Shyam
- Blane Fillingim
- Brian Post
- Chad Steed
- James J Nutaro
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- Junghoon Chae
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- Michael Toomey
- Nihal Kanbargi
- Pratishtha Shukla
- Rangasayee Kannan
- Sudarsanam Babu
- Sudip Seal
- Thomas Feldhausen
- Travis Humble
- Yousub Lee
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- Ali Passian
- Andres Marquez Rossy
- Arit Das
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- Edgar Lara-Curzio
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- Frederic Vautard
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- Harper Jordan
- Holly Humphrey
- Jay Reynolds
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- Joel Asiamah
- Joel Dawson
- Nance Ericson
- Pablo Moriano Salazar
- Peter Wang
- Robert E Norris Jr
- Ryan Dehoff
- Samudra Dasgupta
- Santanu Roy
- Steven J Zinkle
- Sumit Gupta
- Tim Graening Seibert
- Tomas Grejtak
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

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.

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.