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M. Rautela, A. Williams, and A. Scheinker, “Latent evolution model for time-inversion of spatiotemporal beam dynamics”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 241-244. |
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A. Scheinker, “Adaptive machine learning with hard physics constraints and generative diffusion for 6D phase space diagnostics”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 540-545. |
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N. Yampolsky, E.-C. Huang, J. Quemuel, and A. Scheinker, “Early prediction of system failures at Los Alamos Nuclear Science Center”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPS129, unpublished. |
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P. Anisimov, E.-C. Huang, and A. Scheinker, “Machine learning-driven longitudinal phase space reconstruction for enhanced beam tuning at LANSCE”, in Proc. 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM024, pp. 2733-2736. |
