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Monte carlo study of mobility in Si devices with -based oxides
Authors:Giulio Ferrari  JR Watling  S Roy  JR Barker  P Zeitzoff  G Bersuker  A Asenov
Affiliation:aDevice Modelling Group, Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow G12 8LT, UK;bSEMATECH, 2706 Montopolis Drive, Austin, TX 78741, USA
Abstract:HfO2-based high-κ dielectrics are among the most likely candidates to replace SiO2 and the currently favoured oxinitride in the next generation of MOSFETs. High-κ materials allow the use of a thicker gate dielectric, maintaining the gate capacitance with reduced gate leakage. However, they lead to a fundamental mobility degradation due to the coupling of carriers to surface soft (low-energy) optical phonons. Comparing the vertical field dependence of the mobility for HfO2 and SiO2, the severe degradation in mobility in the presence of high-κ becomes evident. The introduction of a SiO2 interfacial layer between the channel and the HfO2 mitigates this degradation, by increasing the effective distance between the carriers and the SO phonons, thus decreasing the interaction strength, this does though lead to an increase in the equivalent oxide thickness (EOT) of the gate dielectric. The material of choice for the first commercial introduction of high-κ gate stacks is Hafnium Silicate (SixHf1-xO2). This alloy stands up better to the processing challenges and as a result suffers less from dielectric fluctuations. We show that as the fraction of Hf increases within the alloy, the inversion layer mobility is shown to decrease due to the corresponding decrease in the energy of the surface optical phonons and increase in the dielectric constant of the oxide.
Keywords:High-color:black" href="/science?_ob=MathURL&_method=retrieve&_udi=B6VPK-4M93BTR-2&_mathId=mml23&_user=10&_cdi=6209&_rdoc=27&_acct=C000069468&_version=1&_userid=6189383&md5=1c8240df2e996b91d8a5e658a3d7f411" title="Click to view the MathML source"  κ" target="_blank">alt="Click to view the MathML source">κ    Mobility  Monte Carlo simulation
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