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PyMoosh: a comprehensive numerical toolkit for computing the optical properties of multilayered structures

Denis Langevin, Pauline Bennet, Abdourahman Khaireh-Walieh, Peter R. Wiecha, Olivier Teytaud, A. Moreau

2023Journal of the Optical Society of America B11 citationsDOIOpen Access PDF

Abstract

We present PyMoosh, a Python-based simulation library designed to provide a comprehensive set of numerical tools allowing the computation of essentially all optical characteristics of multilayered structures, ranging from reflectance and transmittance to guided modes and photovoltaic efficiency. PyMoosh is designed not just for research purposes, but also for use cases in education. To this end, we have invested significant effort in ensuring the user-friendliness and simplicity of the interface. PyMoosh has been developed in line with the principles of open science and considering the fact that multilayered structures are increasingly being used as a testing ground for optimization and deep learning approaches. We provide in this paper the theoretical basis at the core of PyMoosh, an overview of its capabilities, as well as a comparison between the different numerical methods implemented in terms of speed and stability. We are convinced such a versatile tool will be useful for the community in many ways.

Topics & Concepts

Python (programming language)Computer scienceSimplicityComputational scienceSet (abstract data type)TransmittanceRangingPhotovoltaic systemInterface (matter)Computer engineeringOpticsEngineeringElectrical engineeringPhysicsTelecommunicationsProgramming languageParallel computingBubbleQuantum mechanicsMaximum bubble pressure methodAdvanced Multi-Objective Optimization Algorithms
PyMoosh: a comprehensive numerical toolkit for computing the optical properties of multilayered structures | Litcius