Exploring Fresnel diffraction at a straight edge with a neural network

Christophe Finot, Sonia Boscolo

Research output: Contribution to journalArticlepeer-review


We describe a research project carried out with a group of undergraduate physics
students and aimed at exploring the use of a neural network to study a classical
problem in wave optics whose analytical solution is well known: the diffraction
of light by the straight edge of an opaque semi-infinite screen. Through this
exposure to machine learning, the students were able to appreciate the basic
steps involved in a machine-learning process.
Original languageEnglish
Article number035306
Number of pages13
JournalEuropean Journal of Physics
Issue number3
Publication statusPublished - 5 Apr 2022

Bibliographical note

© 2022 European Physical Society. This is the Accepted Manuscript version of an article accepted for publication in European Journal of Physics.  IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it.  The Version of Record is available online at https://doi.org/10.1088/1361-6404/ac5bec


  • Fresnel diffraction
  • machine learning
  • neural network


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