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Author: A. Scheinker


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Reference
C. Leon, A. Scheinker, and A. Bormanis, “Solving the Orszag-Tang vortex magnetohydrodynamics problem with physics-constrained convolutional neural networks”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS72, this conference.
M. Rautela, A. Scheinker, and A. Williams, “Towards latent space evolution of spatiotemporal dynamics of six-dimensional phase space of charged particle beams”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS75, this conference.
C. Leon, A. Scheinker, N. Yampolsky, and P. Anisimov, “Utilizing neural networks to speed up coherent synchrotron radiation computations”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS73, this conference.
A. Scheinker, “Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks, physics models, and adaptive feedback”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS66, this conference.
A. Williams and A. Scheinker, “Estimation and Control of Accelerator Beams by Latent Space Tuning of Generative Models”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS64, this conference.
J. Koglin, M. McKerns, A. Scheinker, B. Schwartz, and D. Wakeford, “Radiographic source prediction for linear induction accelerators using machine learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS65, this conference.
J. Upadhyay et al., “Summary of the workshop on “UED opportunities for dynamical imaging of materials””, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPC09, this conference.
N. Yampolsky, E.-C. Huang, J. Quemuel, and A. Scheinker, “Early prediction of system failures at LANSCE”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper THPG55, this conference.
C. E. Taylor et al., “Model Driven Reconfiguration of LANSCE Tuning Methods”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TU1BCO05, pp. 267-272.


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