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A. Aslam et al., “Feed-Forward Neural Network Based Modelling of an Ultrafast Laser for Enhanced Control”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 4478-4480. |
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A. Aslam, M. Babzien, and S. Biedron, “Applications of Machine Learning in Photo-Cathode Injectors”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 441-442. |
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K. A. Brown et al., “Coulomb Crystals in Storage Rings for Quantum Information Science”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 296-301. |
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K. A. Brown et al., “Ion Coulomb Crystals in Storage Rings for Quantum Information Science”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 3667-3670. |
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S. Biedron, A. Aslam, and M. Babzien, “Applications of machine learning in ultrafast laser control”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS77, this conference. |
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T. Bolin et al., “Data analysis and control of an MeV ultrafast electron diffraction system and a photocathode laser and gun system using machine learning”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPA081, pp. 222-225. |
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T. Bolin, A. Aslam, and S. Biedron, “Machine learning assisted control and data analysis for an MeV ultrafast electron diffraction beamline and photocathode laser system”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS76, this conference. |
