Mandar S. Bhoir, Sourabh Khandelwal, Chenming Hu, Juan P. Duarte, Huan-Lin Chang, Yen-Kai Lin, Harshit Agarwal, Yogesh Singh Chauhan, Pragya Kushwaha, Nihar R. Mohapatra, and IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC)
The formulation of effective mobility for fully depleted silicon-on-insulator (FDSOI) transistors is a very challenging task. As vertical electric field (Eeff ) changes it’s sign from positive to negative according to the front and back channel dominance which results in non-unique relationship between Eeff and carrier distribution. This is the first time, when a predictive mobility model for wide range of back gate biases, solely dependent on technology parameters (front and back gate oxide thickness Tox=box, threshold voltage Vth, front/back gate bias Vfg=bg and flat-band voltage Vfb) is proposed. This predictive mobility model allows the user to predict the deviation in device characteristics due to the variations in the device structure., by Pragya Kushwaha, Harshit Agarwal, Mandar Bhoir, Nihar R. Mohapatra, Sourabh Khandelwal, Juan Pablo Duarte, Yen-Kai Lin, Huan-Lin Chang, Chenming hu and Yogesh Singh Chauhan