Analog integrated circuit (IC) design has undergone several technical advancements following Moore's law, and tends to become extremely challenging with the continued downscaling of the devices and supply voltages. However, not many sophisticated and detailed design tools are available to aid analog designers in exploiting the complete potential of these technical advancements. Most of the available commercial and in-house design tools model the basic building blocks ( e.g. transistor) and employ these device models to predict the performance of a complete circuit/system. As such, accuracies of these device models are crucial in order to develop efficient design tools. Typically, accurate models could be complex, while simple models could b...
Transistor amplifier design is an important and fundamental concept in electronics, typically encoun...
The parameter extraction of device models is critically important for circuit simulation. The device...
In this work, a neural network-based solution to BSIM3v3 MOSFET model is developed to find the most ...
Neural modeling of transistor current-voltage characteristics is explored as a possible solution to ...
Simple MOSFET models intended for hand analysis are inaccurate in deep sub-micrometer process techno...
Simple MOSFET models intended for hand analysis are inaccurate in deep sub-micrometer process techno...
One of the typical applications of neural networks is based on their ability to generate fitting sur...
An optimal design of semiconductor device and its process uniformity are critical factors affecting ...
An optimal design of semiconductor device and its process uniformity are critical factors affecting ...
Consumer electronics have become an integral part of people’s life putting at their disposal immense...
Consumer electronics have become an integral part of people’s life putting at their disposal immense...
© 2020 IEEE. Enhancement of the up-to-date computing systems in performance and memory capacity stim...
Analog/mixed-signal (AMS) integrated circuits (ICs) play an essential role in electronic systems by ...
The simulation and design of electronic devices such as transistors is vital for the semiconductor i...
Analog/mixed-signal (AMS) integrated circuits (ICs) play an essential role in electronic systems by ...
Transistor amplifier design is an important and fundamental concept in electronics, typically encoun...
The parameter extraction of device models is critically important for circuit simulation. The device...
In this work, a neural network-based solution to BSIM3v3 MOSFET model is developed to find the most ...
Neural modeling of transistor current-voltage characteristics is explored as a possible solution to ...
Simple MOSFET models intended for hand analysis are inaccurate in deep sub-micrometer process techno...
Simple MOSFET models intended for hand analysis are inaccurate in deep sub-micrometer process techno...
One of the typical applications of neural networks is based on their ability to generate fitting sur...
An optimal design of semiconductor device and its process uniformity are critical factors affecting ...
An optimal design of semiconductor device and its process uniformity are critical factors affecting ...
Consumer electronics have become an integral part of people’s life putting at their disposal immense...
Consumer electronics have become an integral part of people’s life putting at their disposal immense...
© 2020 IEEE. Enhancement of the up-to-date computing systems in performance and memory capacity stim...
Analog/mixed-signal (AMS) integrated circuits (ICs) play an essential role in electronic systems by ...
The simulation and design of electronic devices such as transistors is vital for the semiconductor i...
Analog/mixed-signal (AMS) integrated circuits (ICs) play an essential role in electronic systems by ...
Transistor amplifier design is an important and fundamental concept in electronics, typically encoun...
The parameter extraction of device models is critically important for circuit simulation. The device...
In this work, a neural network-based solution to BSIM3v3 MOSFET model is developed to find the most ...