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Researcher
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
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- Amit K Naskar
- Brian Post
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- Jun Qu
- Rangasayee Kannan
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- Yong Chae Lim
- Anees Alnajjar
- Blane Fillingim
- Corson Cramer
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- Meghan Lamm
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- Edgar Lara-Curzio
- Ethan Self
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- Govindarajan Muralidharan
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- Marm Dixit
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- Nageswara Rao
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- Rose Montgomery
- Santanu Roy
- Sarah Graham
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- Sheng Dai
- Steven J Zinkle
- Sumit Gupta
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Uvinduni Premadasa
- Varisara Tansakul
- Venugopal K Varma
- Vera Bocharova
- Weicheng Zhong
- Wei Tang
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- 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.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

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.