Technical Articles

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Optimization of IBIS-AMI Model Parameters with Machine Learning Algorithms

This article describes the use of Cadence’s Sigrity signal and power integrity solution ML optimization algorithm to quickly and efficiently converge on the best set of parameters in a set of IBIS-AMI models. The application of Sigrity was investigated for refining IBIS- AMI parameters to find the optimal set of values to maximize a specific metric.


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Ultra-Low Insertion Inductance, Ultra-High-Bandwidth Resistors

By treating the resistor as an electromagnetic structure rather than a lumped element, and by managing coupling, shielding, thermal paths, and compensation as part of a unified design, it becomes possible to achieve ultra‑low insertion inductance and gigahertz‑class measurement bandwidth in a device small enough for production use. The result is a measurement element that enhances system performance rather than limiting it. As power systems continue to push toward higher speed, higher density, and higher reliability, the current‑sense resistor must evolve accordingly. In this article, Steve Sandler outlines a path to that evolution.


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