Kai Arne Hannemann presents his master thesis on Wednesday, 25.10.2023 at 15:00 in our seminar room P1.6.17.1. The master thesis is titled:
„Gate-All-Around Simulation with Neural Networks“.
The presentation will be given in english. Everyone who is interested is welcome to attend the session.
Abstract: Simulating gate-all-around (GAA) transistors using neural networks is a growing area of research that aims to overcome the limitations of traditional simulation methods for GAA devices. GAA transistors are a promising technology for enhancing the performance of electronic devices, however, their simulation is difficult due to the complex 3D geometry and varying material properties of the device, particularly when it comes to the gate capacitance which is a key characteristic for this type of transistors. Traditionally, GAA devices are simulated using SPICE simulation, however, these simulations can be computationally demanding and may not be able to capture the timing behavior for designs with millions of transistors. Additionally, traditional Switch-level simulators are not able to accurately capture the timing behavior of GAAs. This highlights the need for new, accurate simulation techniques that bridge the gap between Switch-level and electrical-level simulations. This work thus investigates the feasibility of new efficient neural network-based simulation techniques, which can be run on GPUs, to improve the simulation of GAA transistors.