PyMoosh : a comprehensive numerical toolkit for computing the optical properties of multilayered structures
arXiv:2309.00654 · doi:10.1364/JOSAB.506175
Abstract
We present PyMoosh, a Python-based simulation library designed to provide a comprehensive set of numerical tools allowing to compute 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 user-friendliness and simplicity of the interface. PyMoosh has been developed in line with the principles of Open Science and taking into account 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.
References in corpus (12)
- A Generative Model for Inverse Design of Metamaterials
- Hyperbolic metamaterials: fundamentals and applications
- TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization
- A newcomer's guide to deep learning for inverse design in nano-photonics
- Multi-objective and categorical global optimization of photonic structures based on ResNet generative neural networks
- PyLlama: a stable and versatile Python toolkit for the electromagnetic modeling of multilayered anisotropic media
- Investigation of inverse design of multilayer thin-films with conditional invertible Neural Networks
- OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer Thin Film Structures
- Light wheel buildup using a backward surface mode
- EllipsoNet: Deep-learning-enabled optical ellipsometry for complex thin films
- Large and Versatile Plasmonic Enhancement of Photoluminescence Using Colloidal Metallic Nanocubes
- Leveraging beam deformation to improve the detection of resonances