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@ARTICLE{RajaeiHarandi:1014119,
      author       = {Rajaei Harandi, Ali and Danesh, Hooman and Linka, Kevin and
                      Reese, Stefanie and Rezaei, Shahed},
      title        = {{SP}i{FOL}: {A} {S}pectral-based physics-informed finite
                      operator learning for prediction of mechanical behavior of
                      microstructures},
      journal      = {Journal of the mechanics and physics of solids},
      volume       = {203},
      issn         = {1873-4782},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2025-05909},
      pages        = {106219},
      year         = {2025},
      cin          = {311510},
      ddc          = {530},
      cid          = {$I:(DE-82)311510_20140620$},
      pnm          = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
                      Aachen University (021000-OAPKF) / DFG project
                      G:(GEPRIS)453596084 - TRR 339: Digitaler Zwilling Straße
                      – Physikalisch-informatorische Abbildung des Systems
                      „Straße der Zukunft“ (453596084) / DFG project
                      G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP)
                      (390621612) / XS-Meta - Cross-scale concurrent
                      material-structure design using functionally-graded
                      3D-printed matematerials. (956401)},
      pid          = {G:(DE-82)021000-OAPKF / G:(GEPRIS)453596084 /
                      G:(GEPRIS)390621612 / G:(EU-Grant)956401},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001521215000001},
      doi          = {10.1016/j.jmps.2025.106219},
      url          = {https://publications.rwth-aachen.de/record/1014119},
}