Advancing photonic design with machine learning

Alexandra Boltasseva

doi:10.1117/12.2624334

24 May 2022 Advancing photonic design with machine learning

Alexandra Boltasseva

Proceedings Volume PC12130, Metamaterials XIII; PC121300R (2022) https://doi.org/10.1117/12.2624334
Event: SPIE Photonics Europe, 2022, Strasbourg, France

Abstract

Discovering unconventional optical designs via machine-learning promises to advance on-chip circuitry, imaging, sensing, energy, and quantum information technology. In this talk, photonic design approaches and emerging material platforms will be discussed showcasting machine-learning-assisted topology optimization for optical metasurface designs for applications in thermophotovoltaics, reflective optics and more.

Conference Presentation

Citation Download Citation

Alexandra Boltasseva "Advancing photonic design with machine learning", Proc. SPIE PC12130, Metamaterials XIII, PC121300R (24 May 2022); https://doi.org/10.1117/12.2624334

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