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M. Rautela, A. Scheinker, and A. Williams, “Accelerator system parameter estimation using variational autoencoded latent regression”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS74, pp. 905-908. |
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C. Leon, A. Scheinker, and A. Bormanis, “Solving the Orszag-Tang vortex magnetohydrodynamics problem with physics-constrained convolutional neural networks”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS72, pp. 897-900. |
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M. Rautela, A. Scheinker, and A. Williams, “Towards latent space evolution of spatiotemporal dynamics of six-dimensional phase space of charged particle beams”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS75, pp. 909-912. |
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C. Leon, A. Scheinker, N. Yampolsky, and P. Anisimov, “Utilizing neural networks to speed up coherent synchrotron radiation computations”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS73, pp. 901-904. |
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A. Scheinker, “Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks, physics models, and adaptive feedback”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS66, pp. 1827-1830. |
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J. Koglin, M. McKerns, A. Scheinker, B. Schwartz, and D. Wakeford, “Radiographic source prediction for linear induction accelerators using machine learning”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS65, pp. 1824-1826. |
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A. Williams and A. Scheinker, “Estimation and control of accelerator beams by latent space tuning of generative models”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS64, pp. 1820-1823. |
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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 (IPAC'24), Nashville, TN, USA, May 2024, paper WEPC09, unpublished. |
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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, unpublished. |
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C. Leon, A. Scheinker, N. Yampolsky, and P. Anisimov, “Generalization ability of convolutional neural networks trained for coherent synchrotron radiation computations”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 219-222. |
