Hao-Yang Lu

Physics-aware calibration neural network for automated TCAD-to-experiment modeling of carbon nanotube field-effect transistors

Low-dimensional semiconductor devices, including carbon nanotube field-effect transistors (CNT-FETs), require efficient calibration methods to reconcile numerical simulations with experimentally measured electrical characteristics. Conventional manual calibration is time-consuming, while purely data-driven surrogate mo...