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

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.