Machine Learning Assisted Inverse Design of Microresonators
Machine Learning Assisted Inverse Design of Microresonators
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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The high demand for fabricating microresonators with desired optical properties has led to various techniques to optimize geometries, mode structures, nonlinearities and dispersion. Depending on applications, the dispersion in such resonators counters their optical nonlinearities and influences the intracavity optical dynamics. In this paper, we de...
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Machine Learning Assisted Inverse Design of Microresonators
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TN_cdi_proquest_journals_2748034096
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2748034096
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2212.03243