A neural approach to study the scaling capability of the undoped Double-Gate and cylindrical Gate All Around MOSFETs

Materials Science and Engineering: B

Volumn 147, Issue 2-3, 2008, Pages 239-244

  Djeffal, F ^a   Abdi, M A ^a   Dibi, Z ^a   Chahdi, M ^a   Benhaya, A ^a  

^a UNIVERSITY OF BATNA   (Algeria)

Author keywords

Artificial neural network; DG MOSFET; GAA MOSFET; Graphical abacus; Scaling capability; Subthreshold swing

Indexed keywords

CMOS INTEGRATED CIRCUITS; ELECTROSTATICS; GATE DIELECTRICS; NEURAL NETWORKS; POISSON EQUATION;

ELECTROSTATIC CONTROL; GRAPHICAL ABACUS; SCALING CAPABILITY; SUBTHRESHOLD SWING;

MOSFET DEVICES;

EID: 38749111112     PISSN: 09215107     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mseb.2007.08.034     Document Type: Article

References (14)

1. The International Technology Roadmap for Semiconductor (2004), available from: (http://public.itrs.net).
2. Oh S.H., Monroe D., and Hergenrother J.M. IEEE Electron Dev. Lett. 21 9 (2000) 445-447
3. Gnani E., Reggiani S., Rudan M., and Baccarani G. J. Comp. Electron. 4 (2005) 71-74
4. Mitra S., Salman A., Ioannou D.P., Tretz C., and Ioannou D.E. Solid-State Electron. 48 (2004) 1727-1732
5. Cho H.J., and Plummer J.D. IEEE Trans. Electron. Dev. 54 1 (2007) 166-169
6. Cho H.J., Namati F., Griffin P.B., and Plummer J.D. VLSI Symp. Tech. Dig. (1998) 38-39
7. Chen Q., Agrawal B., and Meindl J.D. IEEE Trans. Electron. Dev. 49 6 (2002) 1086-1090
8. Abd-Elhamid H., Iniguez B., Jiménez D., Roig J., Pallarès J., and Marsal L.F. Solid-State Electron. 50 (2006) 805-812
9. Djeffal F., Chahdi M., Benhaya A., and Hafyane M.L. Solid-State Electron. 51 (2007) 48-56
10. Djeffal F., Guessasma S., Benhaya A., and Chahdi M. Semicond. Sci. Technol. 20 (2005) 158-164
11. Billings S.A., and Zheng G.L. J. Neural Netw. 8 6 (1995) 8905
12. Cichocki A., and Unbehauen R. Neural Networks for Optimization and Signal Processing (1993), John Wiley & Sons
13. Bishop C.M. Neural Networks for Pattern Recognition (1997), Oxford University Press, Oxford
14. Nabney I.T. Efficient Training of RBF Networks for Classification (1999), Aston University, Birmingham