Research output per year
Research output per year
Description
This data corresponds to the experimental and computational modelling results reported in the publication "A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra". Experimental and computational modelling data was obtained as described in the publication.
| Date made available | 13 Feb 2025 |
|---|---|
| Publisher | University of Strathclyde |
| Date of data production | 2022 - |
Research output
- 1 Article
-
A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra
McQueen, C. J. G., Wilson, R., Frazer, T. P., King, M., Alderton, M., Bacon, E. F. J., Dolier, E. J., Dzelzainis, T., Patel, J. K., Peat, M. P., Torrance, B. C., Gray, R. J. & McKenna, P., 12 Feb 2025, In: Communications Physics. 8, 1, 11 p., 66.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)23 Downloads (Pure)
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The Laser-hybrid Accelerator for Radiobiological Applications
Whyte, C. (Principal Investigator), Gray, R. (Co-investigator) & McKenna, P. (Co-investigator)
STFC Science and Technology Facilities Council
1/10/22 → 31/03/26
Project: Research
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STFC Lancaster Cockcroft 2022 DTP - Christopher McQueen
McKenna, P. (Principal Investigator)
STFC Science and Technology Facilities Council
1/10/22 → 30/09/26
Project: Research - Studentship
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The new intensity frontier: exploring quantum electrodynamic plasmas
McKenna, P. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/06/21 → 30/05/25
Project: Research