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Researcher
- Ahmed Hassen
- Brian Post
- Vlastimil Kunc
- Diana E Hun
- Andrzej Nycz
- Peter Wang
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- Corson Cramer
- Costas Tsouris
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- Halil Tekinalp
- Justin West
- Kyle Gluesenkamp
- Meghan Lamm
- Michelle Kidder
- Philip Boudreaux
- Ryan Dehoff
- Som Shrestha
- Tomonori Saito
- Uday Vaidya
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- Umesh N MARATHE
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- Adam Stevens
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- Beth L Armstrong
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- Bo Shen
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- Gyoung Gug Jang
- James Klett
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- Praveen Cheekatamarla
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- Zhenglai Shen

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.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

We’ve developed a more cost-effective cable driven robot system for installing prefabricated panelized building envelopes. Traditional cable robots use eight cables, which require extra support structures, making setup complex and expensive.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

The technologies provides for regeneration of anion-exchange resin.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

Monoterpenes conversion to C10 aromatics (60%) and C10 cycloalkanes (40%) in an inert environment, provides an established route for sustainable aviation fuel (SAF) blends sourced directly from biomass captured terpenes mixtures.