Department of Electrical and Electronics EngineeringDepartment of Physics2024-11-0920229781-6654-5301-110.1109/PN56061.2022.99083242-s2.0-85141139280https://dx.doi.org/10.1109/PN56061.2022.9908324https://hdl.handle.net/20.500.14288/15526A novel, highly flexible, and data-driven method for designing compact and efficient integrated optical tapers will be discussed and demonstrated through state-of-the-art machine learning algorithms.EngineeringOpticsEfficient waveguide taper design with rapid and data-driven eigenmode expansionConference proceedinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85141139280&doi=10.1109%2fPN56061.2022.9908324&partnerID=40&md5=5fbb25c2d07dd52bb738a5584db0b2ea93090380001710561