Circuit simulation of workload-dependent RTN and BTI based on trap kinetics

A simulation methodology is presented capable of evaluating the transient impact of trap kinetics in transistors at the circuit level and thus the effects caused by them, particularly Random Telegraph Noise (RTN) and Bias Temperature Instability (BTI). The downscaling of channel area leads to transistors with a smaller number of traps, but each trap causing a larger impact on the transistor’s electrical parameters, increasing its importance in circuit reliability. Despite the increasing impact of these effects on circuit reliability there are still no Computer-Aided Design (CAD) tools capable of analyzing the trapping kinetics and the methodologies presented in the literature suffer from either lack of computational efficiency or accuracy. This paper presents a comprehensive trap simulation methodology relying on both theoretical evaluations and experimental device characterization. The developed simulation framework performs a transient SPICE simulation on an arbitrary design considering the trap activity in situ, allowing accurate simulations of both RTN and BTI effects, at DC, AC or arbitrarily changing bias conditions. In order to perform statistical simulations, the simulation framework may be run inside a Monte Carlo loop. Case studies on a SRAM and on a ring oscillator are performed considering the workload dependence and the BTI effect during the simulation.

[1]  Philippe Roussel,et al.  Fast and accurate statistical characterization of standard cell libraries , 2011, Microelectron. Reliab..

[2]  M. Nelhiebel,et al.  The Paradigm Shift in Understanding the Bias Temperature Instability: From Reaction–Diffusion to Switching Oxide Traps , 2011, IEEE Transactions on Electron Devices.

[3]  Alper Demir,et al.  Accurate Prediction of Random Telegraph Noise Effects in SRAMs and DRAMs , 2013, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[4]  S. Machlup,et al.  Noise in Semiconductors: Spectrum of a Two‐Parameter Random Signal , 1954 .

[5]  G. Groeseneken,et al.  Time and workload dependent device variability in circuit simulations , 2011, 2011 IEEE International Conference on IC Design & Technology.

[6]  E. Leobandung,et al.  Evaluation methodology for random telegraph noise effects in SRAM arrays , 2011, 2011 International Electron Devices Meeting.

[7]  G. Groeseneken,et al.  Atomistic approach to variability of bias-temperature instability in circuit simulations , 2011, 2011 International Reliability Physics Symposium.

[8]  E. Klumperink,et al.  Modeling random telegraph noise under switched bias conditions using cyclostationary RTS noise , 2003 .

[9]  Matthias Bucher,et al.  Why‐ and how‐ to integrate Verilog‐A compact models in SPICE simulators , 2013, Int. J. Circuit Theory Appl..

[10]  Alan F. Murray,et al.  Methodology of Statistical RTS Noise Analysis With Charge-Carrier Trapping Models , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[11]  Ralf Brederlow,et al.  Statistical model for MOSFET low-frequency noise under cyclo-stationary conditions , 2009, 2009 IEEE International Electron Devices Meeting (IEDM).

[12]  B. Kaczer,et al.  Statistical Model for MOSFET Bias Temperature Instability Component Due to Charge Trapping , 2011, IEEE Transactions on Electron Devices.

[13]  T. Grasser,et al.  Understanding and modeling AC BTI , 2011, 2011 International Reliability Physics Symposium.

[14]  A. Asenov,et al.  Quantitative Evaluation of Statistical Variability Sources in a 45-nm Technological Node LP N-MOSFET , 2008, IEEE Electron Device Letters.

[15]  A. S. Oates,et al.  Technology Scaling Effect on the Relative Impact of NBTI and Process Variation on the Reliability of Digital Circuits , 2012, IEEE Transactions on Device and Materials Reliability.

[16]  Jie Ding,et al.  Modelling RTN and BTI in nanoscale MOSFETs from device to circuit: A review , 2014, Microelectronics and reliability.

[17]  Yu Cao,et al.  Predictive Technology Model for Nano-CMOS Design Exploration , 2006, 2006 1st International Conference on Nano-Networks and Workshops.

[18]  T. Grasser,et al.  Modeling of hot carrier degradation using a spherical harmonics expansion of the bipolar Boltzmann transport equation , 2012, 2012 International Electron Devices Meeting.

[19]  K. Takeuchi,et al.  Direct observation of RTN-induced SRAM failure by accelerated testing and its application to product reliability assessment , 2010, 2010 Symposium on VLSI Technology.

[20]  Ka Wai Eric Cheng,et al.  Investigation of multiple output operation for switched‐capacitor resonant converters , 2002, Int. J. Circuit Theory Appl..

[21]  S. Pilorget,et al.  Random telegraph signal noise SPICE modeling for circuit simulators , 2007, ESSDERC 2007 - 37th European Solid State Device Research Conference.

[22]  N. Horiguchi,et al.  Response of a single trap to AC negative Bias Temperature stress , 2011, 2011 International Reliability Physics Symposium.

[23]  A. Veloso,et al.  Temperature and voltage dependences of the capture and emission times of individual traps in high-k dielectrics , 2011 .

[24]  D. Vasileska,et al.  Accurate Model for the Threshold Voltage Fluctuation Estimation in 45-nm Channel Length MOSFET Devices in the Presence of Random Traps and Random Dopants , 2011, IEEE Electron Device Letters.

[25]  T. Grasser,et al.  Impact of Individual Charged Gate-Oxide Defects on the Entire $I_{D}$–$V_{G}$ Characteristic of Nanoscaled FETs , 2012, IEEE Electron Device Letters.

[26]  Kiyoshi Takeuchi,et al.  Comprehensive SRAM design methodology for RTN reliability , 2011, 2011 Symposium on VLSI Technology - Digest of Technical Papers.

[27]  Yu Cao,et al.  Simulation of random telegraph Noise with 2-stage equivalent circuit , 2010, 2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[28]  R. Keyes The effect of randomness in the distribution of impurity atoms on FET thresholds , 1975 .

[29]  Tibor Grasser,et al.  Stochastic charge trapping in oxides: From random telegraph noise to bias temperature instabilities , 2012, Microelectron. Reliab..

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

[31]  J. Jopling,et al.  Erratic fluctuations of sram cache vmin at the 90nm process technology node , 2005, IEEE InternationalElectron Devices Meeting, 2005. IEDM Technical Digest..

[32]  Tibor Grasser,et al.  Use of SSTA Tools for Evaluating BTI Impact on Combinational Circuits , 2014, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[33]  T. Grasser,et al.  The time dependent defect spectroscopy (TDDS) for the characterization of the bias temperature instability , 2010, 2010 IEEE International Reliability Physics Symposium.

[34]  R. Degraeve,et al.  Correlation of single trapping and detrapping effects in drain and gate currents of nanoscaled nFETs and pFETs , 2012, 2012 IEEE International Reliability Physics Symposium (IRPS).

[35]  Gilson I. Wirth,et al.  Compact modeling and simulation of Random Telegraph Noise under non-stationary conditions in the presence of random dopants , 2012, Microelectron. Reliab..

[36]  J. Kolhatkar,et al.  Steady-state and cyclo-stationary RTS noise in mosfets , 2005 .