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Researcher
- Diana E Hun
- Som Shrestha
- Philip Boudreaux
- Tomonori Saito
- Bryan Maldonado Puente
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- Venkatakrishnan Singanallur Vaidyanathan
- Zoriana Demchuk
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- Achutha Tamraparni
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- Alexander Enders
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- Michael Kirka
- Natasha Ghezawi
- Obaid Rahman
- Peter Wang
- Richard L. Reed
- Stephen M Killough
- Yifang Liu
- Zhenglai Shen

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

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.

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

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.

Commercial closed-cell insulation foam boards reduce their thermal resistivity by up to 30% due to gas diffusion in and out of foam cells.