A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...

Before circuit design can begin on any advanced semiconductor manufacturing process, the electrical behavior of the devices — transistors, diodes, resistors — must be described accurately in so-called ...

The T2B transistor to behavioral conversion software is suitable for analyzing combined signal and power integrity effects in today’s high-speed designs. It is important technology because, according ...

Field-effect transistors are key components of sensors, electrical circuits, or data storage devices. The transistors used to date have been mainly based on inorganic semiconductors such as silicon.

A new technical paper, “A Device-Physics-Informed Artificial Neural Network Approach for Thermal-Aware I-V and C-V Modeling of GAA FETs,” was published by researchers at National Yang Ming Chiao Tung ...

Models are critical for IC design. Without them, it’s impossible to perform analysis, which in turn limits optimizations. Those optimizations are especially important as semiconductors become more ...