Smart design of photonic structures with artificial intelligence and neural networks (Conference Presentation)

Wenshan Cai

doi:10.1117/12.2551495

9 March 2020 Smart design of photonic structures with artificial intelligence and neural networks (Conference Presentation)

Wenshan Cai

Author Affiliations +

Proceedings Volume 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII; 1128405 (2020) https://doi.org/10.1117/12.2551495
Event: SPIE OPTO, 2020, San Francisco, California, United States

Abstract

The design and implementation of engineered photonic structures, conventionally, relies on the expertise of a skilled scientist to guide a progression of electromagnetic simulations that iteratively solve Maxwell’s equations until an optimized solution can be achieved. However, the intricate mechanisms and the large degrees of freedom in photonic systems often impede an effective strategy for the design and optimization process. We circumvent this conventional procedure by means of a hybrid artificial intelligence architecture. When fed an input set of customer-defined optical responses, the constructed network generates candidate structures that match the on-demand properties with high fidelity in a systematic manner.

Conference Presentation

Citation Download Citation

Wenshan Cai "Smart design of photonic structures with artificial intelligence and neural networks (Conference Presentation)", Proc. SPIE 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII, 1128405 (9 March 2020); https://doi.org/10.1117/12.2551495

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