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MEMS Digital Qualification – Predicting Yield During Initial Design

December 3, 2020

Register For This Web Seminar

Online – Dec 3, 2020
9:00 AM – 10:00 AM US/Pacific
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Online – Dec 3, 2020
5:00 PM – 6:00 PM US/Pacific
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Overview

In MEMS and semiconductor design, 20% of the upstream design decisions affect 80% of the downstream foundry processing, packaging, assembly, and system-level performance and yield. Device designers are seldom able to consider the implications of their design decisions on system-level robustness because the tools and workflows to analyze design impacts on device and system yield did not exist. Until now.

In this webinar, we will demonstrate a new fully integrated workflow that begins at the design capture and layout stage of a new device design, brings in process simulation to emulate MEMS/Semi processes steps and create fab-accurate 3D models of devices, and uses cloud simulation to simulate distributions of die, wafer, package, system, and environmental performance  outcomes.  We will compare results with measured data supplied by SilTerra.

At the end of this webinar, engineers will be empowered to reduce risk, cost, and time-to-market for new MEMS and semiconductor R&D by leveraging MEMS layout to 3D model automation, large-scale efficient 3D modelling,  massively scalable Cloud simulation, and Digital Prototyping and Qualification.

What You Will Learn

Learn about how Tanner L-Edit MEMS and SoftMEMS to OnScale simulation workflows enable a paradigm shift in “MEMS Digital Qualification”- the ability to determine device and system-level performance and yield during upstream device design stages.

ABOUT THE PRESENTER
Ian CampbellIan is a Georgia Tech trained engineer and serial entrepreneur, having founded two Silicon Valley high tech companies. The first, NextInput, broke records in getting a new MEMS technology to market in high volume applications like smartphones and wearables. The second, OnScale, is a Cloud Engineering Simulation platform backed by Intel Capital and Google’s Gradient Ventures. OnScale Cloud combines advanced proprietary multiphysics solvers with cloud supercomputers and AI/ML and breaks performance and cost constraints for engineers optimizing Digital Prototypes of devices like next-gen MEMS, 5G RF filters, IoT devices, medical devices, and much more. OnScale massively reduces cost, risk, and time-to-market for R&D firms pushing the boundaries of new technology.

Who Should Attend

  • MEMS designers
  • MEMS process engineers
  • System engineers, mixed-signal IC designers working at integrated MEMS and IC
  • Test and verification engineers
  • Fabrication/foundry engineers
  • CAD/EDA managers
  • Researchers in the field of MEMS

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