Exploring Fresnel diffraction at a straight edge with a neural network

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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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.