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FluxOptics.jl: A Differentiable Wave Optics Framework for Inverse Design in Julia

Julia Python Submitted 03 November 2025 • Published 23 February 2026
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Editor: @abhishektiwari (all papers)
Reviewers: @Windier (all reviews), @mdmaas (all reviews)

Authors

Nicolas Barré (0000-0002-4460-4151)

Citation

Barré, N., (2026). FluxOptics.jl: A Differentiable Wave Optics Framework for Inverse Design in Julia. Journal of Open Source Software, 11(118), 9734, https://doi.org/10.21105/joss.09734

@article{Barré2026, doi = {10.21105/joss.09734}, url = {https://doi.org/10.21105/joss.09734}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {118}, pages = {9734}, author = {Barré, Nicolas}, title = {FluxOptics.jl: A Differentiable Wave Optics Framework for Inverse Design in Julia}, journal = {Journal of Open Source Software} }
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optics inverse design automatic differentiation beam propagation diffractive optics computational optics

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Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066