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Autonomous Machine-Learning Framework for Interpretable Scientific Discovery in Ultrafast Nanophotonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We design a machine learning framework that discovers interpretable scientific principles by guiding and generating experiments across multiple domains, finding novel ways of steering ultrafast incoherent emission from light emitting metasurfaces.

Original languageEnglish
Title of host publication2025 Conference on Lasers and Electro-Optics, CLEO 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781957171500
StatePublished - 2025
Externally publishedYes
Event2025 Conference on Lasers and Electro-Optics, CLEO 2025 - Long Beach, United States
Duration: May 4 2025 → May 9 2025

Publication series

Name2025 Conference on Lasers and Electro-Optics, CLEO 2025

Conference

Conference2025 Conference on Lasers and Electro-Optics, CLEO 2025
Country/TerritoryUnited States
CityLong Beach
Period05/4/25 → 05/9/25

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