Artificial neural network-based design approach for nanoscale field effect diodes

In this paper, we have applied artificial neural network (ANN) for modeling and simulation of nanoscale filed effect diodes (FEDs). The simulation is based on ANN model which reduces the computational time while keeping the accuracy of physics-based model. Results of the proposed solution have been compared with the data obtained from the Dessis simulation and show that there is a good agreement between the results with the short computing time.