4.1 Article

Exploring Fresnel diffraction at a straight edge with a neural network

Journal

EUROPEAN JOURNAL OF PHYSICS
Volume 43, Issue 3, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1361-6404/ac5bec

Keywords

Fresnel diffraction; neural network; machine learning

Funding

  1. French National Research Agency [I-SITE BFC ANR-17-EURE-0002, OPTIMAL ANR-20-CE30-0004]
  2. Institut Universitaire de France
  3. CNRS

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This article describes a research project conducted with undergraduate physics students, aimed at exploring the use of a neural network to study a classic problem in wave optics. The students were able to appreciate the basic steps involved in a machine-learning process through this experience.
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.

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