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April 23, 20260 citationsOpen Access

Supplementary Material for: Benchmarking Physics-Informed Neural Networks Against Boundary Element Methods for Wave Scattering: Accuracy–Efficiency Trade-offs

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OROscar A. RincónGPGregorio Pérez-BernalUniversidad EAFITSMSilvana Montoya-NogueraUniversidad EAFIT

Key Points

  • This research aims to evaluate the accuracy and efficiency of physics-informed neural networks compared to boundary element methods for wave scattering.
  • Provided additional methodological details related to the main analyses.
  • Included experimental setups and computational techniques utilized in the main manuscript.
  • No specific numerical results were shared in the supplementary material.
  • Clarified methodologies enhance understanding of efficiency and accuracy trade-offs in wave scattering.

Abstract

This supplementary material provides additional methodological details supporting the analyses presented in the main manuscript.

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Cite This Study

Rincón et al. (2026) studied this question.

synapsesocial.com/papers/69e9b85585696592c86eba10https://doi.org/10.5281/zenodo.19673753
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