Showing results (1-10 of 16) with videos related to
Sort By:
Pageof 2
Scientific Reports|June 26, 2024
Physics-constrained machine learning for electrodynamics without gauge ambiguity based on Fourier transformed Maxwell's equationsChristopher Leon, Alexander ScheinkerScientific Reports|November 26, 2024
cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnosticsAlexander ScheinkerScientific Reports|August 19, 2024
Conditional guided generative diffusion for particle accelerator beam diagnosticsAlexander ScheinkerScientific Reports|August 5, 2024
A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle acceleratorsMahindra Rautela, Alan Williams, Alexander ScheinkerPhysical Review. E|March 19, 2025
Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversalMahindra Rautela, Alan Williams, Alexander ScheinkerThe Review of Scientific Instruments|April 21, 2026
4D beam matrix reconstruction in particle acceleratorsNikolai Yampolsky, Petr Anisimov, Alexander ScheinkerPhysical Review. E|May 18, 2023
Adaptive autoencoder latent space tuning for more robust machine learning beyond the training set for six-dimensional phase space diagnostics of a time-varying ultrafast electron-diffraction compact acceleratorAlexander Scheinker, Frederick Cropp, Daniele FilippettoScientific Reports|September 29, 2021
An adaptive approach to machine learning for compact particle acceleratorsAlexander Scheinker, Frederick Cropp, Sergio Paiagua, et al.Physical Review Letters|August 11, 2018
Demonstration of Model-Independent Control of the Longitudinal Phase Space of Electron Beams in the Linac-Coherent Light Source with Femtosecond ResolutionAlexander Scheinker, Auralee Edelen, Dorian Bohler, et al.Optics Express|June 14, 2025
Single-shot measurements of shaped XUV FEL pulses with frequency-resolved optical gatingFrancesca Elverson, Patrick Skrodzki, Alexander Scheinker, et al.Pageof 2