scholarly journals 3D multi-subband ensemble Monte Carlo simulator of FinFETs and nanowire transistors

Author(s):  
C. Sampedro ◽  
L. Donetti ◽  
F. Gamiz ◽  
A. Godoy ◽  
F. J. Garcia-Ruiz ◽  
...  
Author(s):  
Carlos Sampedro ◽  
Cristina Medina-Bailon ◽  
Luca Donetti ◽  
Jose Luis Padilla ◽  
Carlos Navarro ◽  
...  

2002 ◽  
Vol 02 (03) ◽  
pp. L243-L251 ◽  
Author(s):  
B. G. VASALLO ◽  
J. MATEOS ◽  
D. PARDO ◽  
T. GONZÁLEZ

An ensemble Monte Carlo simulator self-consistently coupled with a Poisson solver is used to study the influence of the density, occupancy and location of electrons traps on the current fluctuations in nondegenerate quasiballistic structures. Transport and noise are found to depend significantly on the density and location of the traps. In particular, the presence of traps increases the noise level as compared with the purely ballistic case. The nonuniformity of the trap occupancy profiles along the active region of the structures affects markedly (specially for low trap densities) the dependence of shot noise on the applied voltage. The location of the traps with respect to the potential minimum appearing in the structures because of the presence of space charge determines their influence on the noise level, fact which can be of help to identify the trap position.


2017 ◽  
Vol 64 (8) ◽  
pp. 3084-3091 ◽  
Author(s):  
Cristina Medina-Bailon ◽  
Jose L. Padilla ◽  
Carlos Sampedro ◽  
Cem Alper ◽  
Francisco Gamiz ◽  
...  

2013 ◽  
Vol 22 (01) ◽  
pp. 1350001
Author(s):  
FRANCISCO GÁMIZ ◽  
CARLOS SAMPEDRO ◽  
LUCA DONETTI ◽  
ANDRES GODOY

State-of-the-Art devices are approaching to the performance limit of traditional MOSFET as the critical dimensions are shrunk. Ultrathin fully depleted Silicon-on-Insulator transistors and multi-gate devices based on SOI technology are the best candidates to become a standard solution to overcome the problems arising from such aggressive scaling. Moreover, the flexibility of SOI wafers and processes allows the use of different channel materials, substrate orientations and layer thicknesses to enhance the performance of CMOS circuits. From the point of view of simulation, these devices pose a significant challenge. Simulations tools have to include quantum effects in the whole structure to correctly describe the behavior of these devices. The Multi-Subband Monte Carlo (MSB-MC) approach constitutes today's most accurate method for the study of nanodevices with important applications to SOI devices. After reviewing the main basis of MSB-MC method, we have applied it to answer important questions which remain open regarding ultimate SOI devices. In the first part of the chapter we present a thorough study of the impact of different Buried OXide (BOX) configurations on the scaling of extremely thin fully depleted SOI devices using a Multi-Subband Ensemble Monte Carlo simulator (MS-EMC). Standard thick BOX, ultra thin BOX (UTBOX) and UTBOX with ground plane (UTBOX+GP) solutions have been considered in order to check their influence on short channel effects (SCEs). The simulations show that the main limiting factor for downscaling is the DIBL and the UTBOX+GP configuration is the only valid one to downscale SGSOI transistors beyond 20 nm channel length keeping the silicon slab thickness above the theoretical limit of 5 nm, where thickness variability and mobility reduction would play an important role. In the second part, we have used the multisubband Ensemble Monte Carlo simulator to study the electron transport in ultrashort DGSOI devices with different confinement and transport directions. Our simulation results show that transport effective mass, and subband redistribution are the main factors that affect drift and scattering processes and, therefore, the general performance of DGSOI devices when orientation is changed


Author(s):  
Raúl Valín ◽  
Carlos Sampedro ◽  
Natalia Seoane ◽  
Manuel Aldegunde ◽  
Antonio Garcia-Loureiro ◽  
...  

2021 ◽  
Vol 103 (1) ◽  
Author(s):  
Armin Bergermann ◽  
Martin French ◽  
Manuel Schöttler ◽  
Ronald Redmer

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