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@INPROCEEDINGS{Chattopadhyay:642689,
      author       = {Chattopadhyay, U. and Carstens, F. and Steinecke, M. and
                      Wienke, A. and Hartl, Ingmar and Ay, N. and Heyl, Christoph
                      and Tuennermann, Henrik},
      title        = {{AI}-{D}riven {D}esign of {U}ltra-{B}roadband {D}ispersive
                      {M}irrors},
      reportid     = {PUBDB-2025-05564},
      year         = {2025},
      abstract     = {We present a machine-learning framework for optical
                      thin-film coating design that accelerates the design process
                      while achieving excellent performance characteristics
                      without expert intervention. To demonstrate its
                      capabilities, we design a broadband high-reflectivity mirror
                      with state-of-the-art performance, including a −200 fs2
                      GDD covering a spectral range from 940 nm to 1120 nm.},
      month         = {Oct},
      date          = {2025-10-05},
      organization  = {Ultrafastoptics2025, Furnas
                       (Portugal), 5 Oct 2025 - 10 Oct 2025},
      cin          = {FS-PRI / FS-LA},
      cid          = {I:(DE-H253)FS-PRI-20240109 / I:(DE-H253)FS-LA-20130416},
      pnm          = {632 - Materials – Quantum, Complex and Functional
                      Materials (POF4-632) / HIDSS-0002 - DASHH: Data Science in
                      Hamburg - Helmholtz Graduate School for the Structure of
                      Matter $(2019_IVF-HIDSS-0002)$},
      pid          = {G:(DE-HGF)POF4-632 / $G:(DE-HGF)2019_IVF-HIDSS-0002$},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://bib-pubdb1.desy.de/record/642689},
}