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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Steven Guzorek
- Brian Post
- Vipin Kumar
- Alex Plotkowski
- Amit Shyam
- David Nuttall
- Soydan Ozcan
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- Andrzej Nycz
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- Sudarsanam Babu
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- Halil Tekinalp
- Harper Jordan
- Isha Bhandari
- Jaswinder Sharma
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- Kim Sitzlar
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- Komal Chawla
- Liam White
- Mariam Kiran
- Merlin Theodore
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- Nicholas Richter
- Oluwafemi Oyedeji
- Peeyush Nandwana
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- Rangasayee Kannan
- Roger G Miller
- Ryan Ogle
- Sana Elyas
- Sarah Graham
- Sheng Dai
- Steve Bullock
- Subhabrata Saha
- Sunyong Kwon
- Thomas Feldhausen
- Varisara Tansakul
- William Peter
- Xianhui Zhao
- Ying Yang
- Yukinori Yamamoto

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.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.