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- Ahmed Hassen
- Vlastimil Kunc
- Steven Guzorek
- Vipin Kumar
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- Brittany Rodriguez
- Chad Steed
- Diana E Hun
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- Junghoon Chae
- Philip Bingham
- Philip Boudreaux
- Pum Kim
- Ryan Dehoff
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- Kim Sitzlar
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- Obaid Rahman
- Oluwafemi Oyedeji
- Peter Wang
- Ryan Kerekes
- Ryan Ogle
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- Samudra Dasgupta
- Sana Elyas
- Sudarsanam Babu
- Thomas Feldhausen
- Xianhui Zhao

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

The technology will offer supportless DIW of complex structures using vinyl ester resin, facilitated by multidirectional 6 axis printing.

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

Reflective and emissive surfaces are designed with heat retention as opposed to the current state of the art oven and furnaces which use non-reflective surfaces. Heat is absorbed and transferred to the exterior of the heated appliances.

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.