Framework for TCAD augmented machine learning on multi- I – V characteristics using convolutional neural network and multiprocessing
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Semiconductors"
DOI: 10.1088/1674-4926/42/12/124101
Abstract: In a world where data is increasingly important for making breakthroughs, microelectronics is a field where data is sparse and hard to acquire. Only a few entities have the infrastructure that is required to automate… read more here.
Keywords: tcad augmented; machine learning; using convolutional; convolutional neural ... See more keywords
Prediction of Device Characteristics of Feedback Field-Effect Transistors Using TCAD-Augmented Machine Learning
Sign Up to like & getrecommendations! Published in 2023 at "Micromachines"
DOI: 10.3390/mi14030504
Abstract: In this study, the device characteristics of silicon nanowire feedback field-effect transistors were predicted using technology computer-aided design (TCAD)-augmented machine learning (TCAD-ML). The full current–voltage (I-V) curves in forward and reverse voltage sweeps were predicted… read more here.
Keywords: field effect; tcad augmented; feedback field; device characteristics ... See more keywords