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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, this conference. |
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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”, presented at the 16th Int. Particle Accelerator Conf. (IPAC'25), Taipei, Taiwan, Jun. 2025, paper THPM024, this conference. |
