editor's blog
Subscribe Now

MEMS over Copper

You may recall that there are various ways to approach CMOS-compatible MEMS. The one that yields the smallest die area is the CMOS-first process, where the CMOS circuits are built and then the MEMS layers are added afterwards. Done properly, it means the MEMS portions can be built right on top of the circuitry – this is, of course, what provides the space savings.

Imec has been doing a lot of work in this space, and in our earlier article, we pointed to their preference for poly-SiGe as a material for proof masses and such. But they had only tried building structures over older aluminum metallization layers.

More aggressive processes use copper metal, and so imec did a demonstration project to prove this out. Specifically, they built a piezoresistive pressure sensor over its readout circuitry, which used copper interconnect.

Bottom line: it worked. This presumably demonstrates that CMOS-first MEMS can smoothly transition over the aluminum-to-copper change at advanced nodes.

More detail in their release

Leave a Reply

featured blogs
Dec 19, 2024
Explore Concurrent Multiprotocol and examine the distinctions between CMP single channel, CMP with concurrent listening, and CMP with BLE Dynamic Multiprotocol....
Dec 20, 2024
Do you think the proton is formed from three quarks? Think again. It may be made from five, two of which are heavier than the proton itself!...

Libby's Lab

Libby's Lab - Scopes Out Littelfuse's SRP1 Solid State Relays

Sponsored by Mouser Electronics and Littelfuse

In this episode of Libby's Lab, Libby and Demo investigate quiet, reliable SRP1 solid state relays from Littelfuse availavble on Mouser.com. These multi-purpose relays give engineers a reliable, high-endurance alternative to mechanical relays that provide silent operation and superior uptime.

Click here for more information about Littelfuse SRP1 High-Endurance Solid-State Relays

featured chalk talk

Machine Learning on the Edge
Sponsored by Mouser Electronics and Infineon
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
Aug 12, 2024
56,208 views