TY - GEN
T1 - Flexible transition metal dichalcogenide field-effect transistors
T2 - 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
AU - Chen, Ying Yu
AU - Gholipour, Morteza
AU - Chen, Deming
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/7
Y1 - 2016/3/7
N2 - In this paper, a new and efficient SPICE model of flexible transition metal dichalcogenide field-effect transistors (TMDFETs) is developed for different types of materials, considering effects when scaling the transistor size down to the 16-nm technology node. Extensive circuit-level simulations are performed using this model, and the delay and power performance of TMDFET circuits with different amounts of bending are reported. Simulation results indicate that delay and power tradeoff can be done in TMDFET circuits via bending. Effects from process variation are also evaluated via circuit simulations. Finally, our cross-technology and scaling studies show that while TMDFETs perform better than Si-based transistors in terms of energy-delay product (EDP) at 180-nm and 90-nm technology nodes (the best being 12.7% and 40.7% of that of Si-based transistors, respectively), their EDPs are worse than Si-based transistors (at least 4.9× of that of the best performing Si-based transistor) on the 16-nm technology node. Such a compact model would enable SPICE-level circuit simulation for early assessment, design, and evaluation of futuristic TMDFET-based flexible circuits targeting advanced technology nodes.
AB - In this paper, a new and efficient SPICE model of flexible transition metal dichalcogenide field-effect transistors (TMDFETs) is developed for different types of materials, considering effects when scaling the transistor size down to the 16-nm technology node. Extensive circuit-level simulations are performed using this model, and the delay and power performance of TMDFET circuits with different amounts of bending are reported. Simulation results indicate that delay and power tradeoff can be done in TMDFET circuits via bending. Effects from process variation are also evaluated via circuit simulations. Finally, our cross-technology and scaling studies show that while TMDFETs perform better than Si-based transistors in terms of energy-delay product (EDP) at 180-nm and 90-nm technology nodes (the best being 12.7% and 40.7% of that of Si-based transistors, respectively), their EDPs are worse than Si-based transistors (at least 4.9× of that of the best performing Si-based transistor) on the 16-nm technology node. Such a compact model would enable SPICE-level circuit simulation for early assessment, design, and evaluation of futuristic TMDFET-based flexible circuits targeting advanced technology nodes.
UR - http://www.scopus.com/inward/record.url?scp=84996956243&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84996956243&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2016.7428103
DO - 10.1109/ASPDAC.2016.7428103
M3 - Conference contribution
AN - SCOPUS:84996956243
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
SP - 761
EP - 768
BT - 2016 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 January 2016 through 28 January 2016
ER -