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Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Diana E Hun
- Philip Bingham
- Philip Boudreaux
- Rob Moore II
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- Bryan Maldonado Puente
- Christopher Rouleau
- Corey Cooke
- Costas Tsouris
- Gina Accawi
- Gs Jung
- Gurneesh Jatana
- Gyoung Gug Jang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jong K Keum
- Mark M Root
- Matthew Brahlek
- Michael Kirka
- Mina Yoon
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Radu Custelcean
- Ryan Kerekes
- Sally Ghanem

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

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

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Molecular Beam Epitaxy is a traditional technique for the synthesis of thin film materials used in the semiconducting and microelectronics industry. In its essence, the MBE technique heats crucibles filled with ultra-pure atomic elements under ultra high vacuum condition

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).