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Researcher
- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Diana E Hun
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Sergiy Kalnaus
- Stephen M Killough
- Vincent Paquit
- Alexander Enders
- Alexander I Wiechert
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- Beth L Armstrong
- Bryan Maldonado Puente
- Charles F Weber
- Christopher S Blessinger
- Corey Cooke
- Costas Tsouris
- Derek Dwyer
- Georgios Polyzos
- Gina Accawi
- Gurneesh Jatana
- Jaswinder Sharma
- Joanna Mcfarlane
- John Holliman II
- Jonathan Willocks
- Junghyun Bae
- Louise G Evans
- Mark M Root
- Matt Vick
- Mengdawn Cheng
- Michael Kirka
- Nancy Dudney
- Nolan Hayes
- Obaid Rahman
- Paula Cable-Dunlap
- Peter Wang
- Richard L. Reed
- Ryan Kerekes
- Sally Ghanem
- Vandana Rallabandi

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

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.

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.

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

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.

Pyrolysis evolved gas analysis – mass spectrometry (EGA-MS) and pyrolysis gas chromatography – MS (GC-MS) – are powerful analytical tools for polymer characterization.

The co-processing of cathode and composite electrolyte for solid state polymer batteries has been developed. A traditional uncalendared cathode of e.g.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

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