Entries by Ingrid Schwarz

HINTS & TIPS – December 1998

Q: I took the example file mux4.gds from Expert’s installation and tried the Edit-in-place operation. I entered into an instance of mux1, modified a box in it and exited from EIP. There are options to change the edited cell and to save instance under another cell name.

Expert Expanded with Client-Server Project/Library Management

The Expert layout processor v.2.0 introduces a client-server system for managing large projects in multiuser design environments. This system is a significant improvement and enhances productivity by providing concurrent access to the same design data by several designers while maintaining data integrity and ensuring security for intellectual property.

HINTS & TIPS – November 1998

Q: How can anti-reflective coatings be modeled when simulating photodetectors in ATLAS/Luminous? How can detection efficiency be plotted?A: Earlier version of ATLAS were able to handle refraction and reflection of rays during the optical simulation in Luminous.

New Model for High Energy Implants in ATHENA

In our earlier paper [1] a new Binary Collision Approximation (BCA) module was described. It was shown that models and algorithms implemented into the BCA model allow to accurately predict implant profiles with significant channeling as well as the dose and screen oxide thickness dependencies for relatively low implant energies.

Calibrating a Typical Bipolar Process Flow

A common request from TCAD (Technology Computer Aided Design) users is advise on how to calibrate the process flow and device simulator to a particular technology. In this article, guidelines are presented for calibration of process and device simulations for a typical poly-emitter bipolar process.

SPAYN Recent Developments

An important aspect of statistical process control in IC production is the ability to predict circuit performance variation in the manufacturing process. Two new features in SPAYN allow the user, for a particular circuit performance parameter, to rapidly calculate an estimate of the standard deviation and also generate a yield distribution utilising Monte Carlo simulations, thus allowing a full statistical analysis of the circuit performance parameter distribution.