Defect-Centric Distribution of Channel Hot Carrier Degradation in Nano-MOSFETs

The defect-centric distribution is used, for the first time, to study the channel hot carrier (CHC) degradation. This distribution has been recently proposed for bias temperature instability (BTI) shift and we show that it also successfully describes the CHC behavior. This distribution has the advantage of being described by two physics-based parameters, the average threshold voltage shift produced by a single charge η and the number of stress-induced charged traps Nt. We study the behavior of η and Nt on nFETs with different geometries for different CHC stress times. As in the case of BTI, we observe that: 1) during the CHC stress, η is constant and Nt increases at the same rate of ΔVth and 2) η scales as 1/Area. We show that the density of charged traps induced by CHC stress strongly increases with reducing channel length, in contrast to BTI, where the density of charged traps is independent of the device geometry. The defect analysis enabled by the defect-centric statistics can be used to deepen our understanding of CHC degradation in nanoscale MOSFETs, where the defects are reduced to a numerable level.

[1]  R. Degraeve,et al.  Origin of NBTI variability in deeply scaled pFETs , 2010, 2010 IEEE International Reliability Physics Symposium.

[2]  V. Huard,et al.  Hot-Carrier acceleration factors for low power management in DC-AC stressed 40nm NMOS node at high temperature , 2009, 2009 IEEE International Reliability Physics Symposium.

[3]  C. Auth,et al.  Bias temperature instability variation on SiON/Poly, HK/MG and trigate architectures , 2014, 2014 IEEE International Reliability Physics Symposium.

[4]  Guido Groeseneken,et al.  Channel hot-carrier degradation in pMOS and nMOS short channel transistors with high-k dielectric stack , 2010 .

[5]  X. Federspiel,et al.  BTI variability fundamental understandings and impact on digital logic by the use of extensive dataset , 2013, 2013 IEEE International Electron Devices Meeting.

[6]  T. Grasser,et al.  Statistics of Multiple Trapped Charges in the Gate Oxide of Deeply Scaled MOSFET Devices—Application to NBTI , 2010, IEEE Electron Device Letters.

[7]  Philippe Roussel,et al.  Toward a streamlined projection of small device bias temperature instability lifetime distributions , 2013 .

[8]  Shuang-Yuan Chen,et al.  Transistor variability after CHC and NBTI stress in 90 nm pMOSFET technology , 2009 .

[9]  N. Horiguchi,et al.  Impact of single charged gate oxide defects on the performance and scaling of nanoscaled FETs , 2012, 2012 IEEE International Reliability Physics Symposium (IRPS).

[10]  G. Bersuker,et al.  Hot carrier degradation of HfSiON gate dielectrics with TiN electrode , 2005, IEEE Transactions on Device and Materials Reliability.

[11]  C. Fiegna,et al.  Impact of Hot Carriers on nMOSFET Variability in 45- and 65-nm CMOS Technologies , 2011, IEEE Transactions on Electron Devices.

[12]  Steve S. Chung The process and stress-induced variability issues of trigate CMOS devices , 2013, 2013 IEEE International Conference of Electron Devices and Solid-state Circuits.

[13]  B. Kaczer,et al.  Degradation of time dependent variability due to interface state generation , 2013, 2013 Symposium on VLSI Technology.

[14]  G. Groeseneken,et al.  From mean values to distributions of BTI lifetime of deeply scaled FETs through atomistic understanding of the degradation , 2011, 2011 Symposium on VLSI Technology - Digest of Technical Papers.

[15]  E. R. Hsieh,et al.  New observations on the physical mechanism of Vth-variation in nanoscale CMOS devices after long term stress , 2011, 2011 International Reliability Physics Symposium.

[16]  Philippe Roussel,et al.  Toward a streamlined projection of small Device BTI lifetime distributions , 2012 .

[17]  H. P. Tuinhout,et al.  Characterization and Modeling of Hot Carrier-Induced Variability in Subthreshold Region , 2012, IEEE Transactions on Electron Devices.