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C. Leon, A. Scheinker, N. Yampolsky, and P. M. Anisimov, “Machine learning-driven computations of 3D Coherent Synchrotron Radiation”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 279-283. |
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A. Scheinker, “Generative deep learning for particle accelerators”, presented at the 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, paper TUTD01, unpublished. |
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A. Williams and A. Scheinker, “Safe extremum seeking for real-time adaptive accelerator control”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 652-658. |
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B. Ratto and A. Scheinker, “Data-driven models for virtual diagnostics and control”, presented at the 20th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'25), Chicago, IL, USA, Sep. 2025, paper MOCG007, unpublished. |
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N. Yampolsky, A. Garcia, E.-C. Huang, J. Quemuel, M. Rautela, and A. Scheinker, “Facility-wide monitoring and early detection of failures at LANSCE”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6380, this conference. |
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C. Leon, P. M. Anisimov, and A. Scheinker, “Machine learning-assisted calibration of the accelerator simulator HPSim”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6320, this conference. |
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A. Williams, A. Scheinker, and E. Vermeulen, “Model Predictive Control and ML for Control and Estimation: Application to the IPF Beamline at LANSCE”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6307, this conference. |
