@article{63498,
  author       = {{Kirchgässner, Wilhelm and Förster, Nikolas and Piepenbrock, Till and Schweins, Oliver and Wallscheid, Oliver}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Mathematical models, Estimation, Data models, Convolutional neural networks, Accuracy, Magnetic hysteresis, Magnetic cores, Temperature measurement, Magnetic domains, Temperature distribution, Convolutional neural network (CNN), machine learning (ML), magnetics}},
  number       = {{2}},
  pages        = {{3326--3335}},
  title        = {{{HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores}}},
  doi          = {{10.1109/TPEL.2024.3488174}},
  volume       = {{40}},
  year         = {{2025}},
}

@article{46637,
  author       = {{Gonchikzhapov, Munko and Kasper, Tina}},
  issn         = {{2666-352X}},
  journal      = {{Applications in Energy and Combustion Science}},
  keywords     = {{Nanoparticle synthesis, Flame spray pyrolysis, SpraySyn burner, Flame structure, Species distribution, Temperature distribution}},
  publisher    = {{Elsevier BV}},
  title        = {{{Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames}}},
  doi          = {{10.1016/j.jaecs.2023.100174}},
  volume       = {{15}},
  year         = {{2023}},
}

