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Premier Si/III-V Device Modeling and Characterization Solutions

Agilent provides premier solutions for characterization and modeling of cutting-edge CMOS and compound semiconductor devices. Agilent is the only vendor that provides complete end-to-end modeling solutions, from automated measurements, accurate device model extraction, comprehensive qualification to final process design kit (PDK) validation. Comprehensive modeling services are offered, supported by Agilent’s expert engineers and advanced labs. Some of our key device modeling and characterization EDA software solutions include:

  • IC-CAP: A versatile and user programmable industry standard for semiconductor device modeling
  • IC-CAP WaferPro: Fast and accurate automated measurement software
  • Model Builder Program (MBP): Complete Silicon turnkey device modeling software
  • Model Quality Assurance (MQA): Industry standard SPICE model signoff and acceptance software

Device modeling and characterization challenges

  • As device geometries get smaller, the need to use accurate models and to control statistical variations in device processing performance becomes ever more important
  • Circuit designers need models that can accurately predict DC behaviors, as well as RF and noise behaviors
  • Different process technologies require a variety of models that can be quickly adapted to the unique processes
  • With modeling measurements taking hours or even days, measurement control software must also work with probers and instruments to allow automated measurements across temperature

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Agilent Veranstaltungs-Webseite für Deutschland 
Willkommen zur neuen Agilent Veranstaltungs-Webseite für Deutschland

Seminar

 
Breakthrough in High Speed Interconnect Analysis and Compliance Testing  
Originally broadcast April 27, 2011

Webcast - recorded

 
Test & Measurement events in Europe, Middle East & Africa 
Test & Measurement events in Europe, the Middle East, and Africa - seminars, trade shows, user group meetings, webcasts, tutorials and conferences.

Seminar