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Emerging integrated photonic technologies leveraging multimaterial integration for AI and datacenter applications

Eli A Doris, Eric C Blow, Hyuma Umeda

|November 11, 2025

Summary

Multimaterial integration in photonics is crucial for advancing datacenters and AI acceleration. This review explores how these techniques enhance silicon photonics performance for modulators and optical frequency combs.

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Area of Science:

Integrated photonics
Materials science
Optical engineering

Background:

Multimaterial integration is a key driver of innovation in integrated photonics.
The demand for high-performance photonics in datacenters and AI acceleration is rapidly increasing.
Advanced integration techniques are essential for overcoming current performance limitations.

Purpose of the Study:

To review the role of photonics in AI and datacenter applications.
To survey the current state of multimaterial integration in photonics.
To highlight recent advancements in multimaterial integration for enhanced photonic devices.

Main Methods:

Literature review of photonics for AI and datacenters.
Analysis of current multimaterial integration techniques in photonics.
Case studies on performance improvements in silicon photonics modulators and optical frequency combs.

Main Results:

Multimaterial integration significantly boosts the performance of silicon photonics modulators.
Advanced integration enables the development of chip-scale optical frequency combs.
Photonics plays a vital role in enabling next-generation AI and datacenter technologies.

Conclusions:

Multimaterial integration is indispensable for the future of high-performance integrated photonics.
Continued innovation in integration techniques will unlock new capabilities for AI and datacenters.
This review provides insights into the evolving landscape of photonic integration.