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Additive 3D photonic integration that is CMOS compatible.
Adrià Grabulosa1, Johnny Moughames1, Xavier Porte1
1Institut FEMTO-ST, Université Franche-Comté, CNRS UMR6174, Besançon, France.
Nanotechnology
|April 27, 2023
Summary
Researchers developed 3D-printed photonic circuits using photo-resin, enabling scalable optical neural networks. This advancement offers a path towards integrating electronics and photonics on a single chip, overcoming miniaturization limits.
Area of Science:
- Photonics and Optical Engineering
- Materials Science
- Integrated Circuit Design
Background:
- Electronic integrated circuits (ICs) face fundamental miniaturization limits (∼2 nm feature size).
- Energy consumption in electronic ICs, especially for communication and neural networks, is a major challenge.
- Three-dimensional (3D) integration offers a strategy to improve IC architecture beyond 2D limitations.
Purpose of the Study:
- To review advancements in 3D photonic integration using additive photopolymerization.
- To demonstrate CMOS-compatible fabrication of 3D photonic circuits for hybrid integration.
- To explore the application of these circuits in optical neural networks.
Main Methods:
- Utilized additive photo-induced polymerization of standard photo-resin.
- Employed one- and two-photon polymerization (TPP), including flash-TPP, combined with direct-laser writing.
- Fabricated air- and polymer-cladded photonic waveguides and adiabatic couplers.
Main Results:
- Demonstrated 3D-printed polymer-cladded waveguides (up to 6 mm length) with low insertion (∼0.26 dB) and propagation (∼1.3 dB mm⁻¹) losses.
- Achieved broadband, low-loss (∼0.06 dB splitting losses) adiabatic 1 to M couplers.
- Successfully printed integrated photonic circuits on semiconductor samples, confirming CMOS compatibility.
Conclusions:
- Additive photopolymerization enables truly 3D photonic integration compatible with CMOS processes.
- 3D photonic circuits are crucial for scalable interconnects in optical neural networks.
- This approach provides a promising pathway for scalable hybrid photonic-electronic integration.

