Learning faster and better: embedding Maxwell equations into machine learning

Sean Lynch; Abantika Ghosh; Jacob LaMountain; Viktor A. Podolskiy; Jie Bu; Mohannad Elhamod; Anuj Karpatne; Wei-Cheng Lee

doi:10.1117/12.3023205

11 June 2024 Learning faster and better: embedding Maxwell equations into machine learning

Sean Lynch, Abantika Ghosh, Jacob LaMountain, Viktor A. Podolskiy, Jie Bu, Mohannad Elhamod, Anuj Karpatne, Wei-Cheng Lee

Author Affiliations +

Proceedings Volume PC12990, Metamaterials XIV; PC1299009 (2024) https://doi.org/10.1117/12.3023205
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

We demonstrate that incorporating physics-based intuition and Maxwell-equation-based constraints into machine learning process reduces the required amount of the training data and improves prediction accuracy and physics consistency. In addition, physics-based provides an avenue to extend the range of the model applicability outside the space of the original labeled dataset. The proposed approaches are illustrated on examples of photonic composites, from photonic crystals to hyperbolic metamaterials.

Conference Presentation

Citation Download Citation

Sean Lynch, Abantika Ghosh, Jacob LaMountain, Viktor A. Podolskiy, Jie Bu, Mohannad Elhamod, Anuj Karpatne, and Wei-Cheng Lee "Learning faster and better: embedding Maxwell equations into machine learning", Proc. SPIE PC12990, Metamaterials XIV, PC1299009 (11 June 2024); https://doi.org/10.1117/12.3023205

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available