Inverse design of photonic surfaces via multi fidelity ensemble framework and femtosecond laser processing

Abstract We demonstrate a multi-fidelity (MF) machine learning ensemble framework for the inverse design of photonic surfaces, trained on a dataset of 11,759 samples that we fabricate using high throughput femtosecond laser processing. The MF ensemble combines an initial low fidelity model for gener...

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Bibliographic Details
Main Authors: Luka Grbčić, Minok Park, Mahmoud Elzouka, Ravi Prasher, Juliane Müller, Costas P. Grigoropoulos, Sean D. Lubner, Vassilia Zorba, Wibe Albert de Jong
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-025-01518-4
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