14th International Conference Reliability and Stress–Related Phenomena in Nanoelectronics – Experiment and Simulation Bad Schandau, Germany, May 30 – June 1, 2016 Andreas Aal1, Gottfried Kurz2, André Clausner3 1Electronic Analysis / Robustness (EEIP/1), Volkswagen AG, Berliner-Ring 2, 38436 Wolfsburg, Germany 2GLOBALFOUNDRIES Dresden Module One LLC & Co. KG, Wilschdorfer Landstrasse 101, 01109 Dresden, Germany 3Fraunhofer Institute for Ceramic Technologies and Systems, Maria-Reiche-Strasse 2, 01109 Dresden, Germany Phone: +49-(0)5361-9-38277; Fax: +49-(0)5361-9-57-38277; e-mail: andreas.aal@volkswagen.de Intermittent Functional Loss of Non-Degraded Advanced Semiconductor Technology based Products in Harsh Environments – Causes, Reproducibility, Mitigation Content 1 Background 2 Motivation 3 Experimental Approach 4 SRAM read disturb sensitivity under mechanical load 5 Primitive device electrical aging behavior under mechanical load 6 Discussion 7 Summary Page 2 1. Background Future Mobility: Zero Emission, intuitiv, online The future is a 4wheel computer with client & server functionality – the ultimate mobile device Page 3 1. Background Semiconductor Technology – Enabler for Functions that matter Key-Technologies (i.e. Smartphone) Automotive: New digital Products & Services Application CPU: 14/16 nm FinFET (Samsung/TSMC) Baseband CPU: 20 nm SOC Power Amplifier Modul: 100 nm GaN LTE-Modul: 28 nm CMOS Big Data Connected Car Autonomous Driving CloudComputing NAND Flash: 15-20 nm MLC Automotive needs leading-edge technologies from a functional perspective, but ... Page 4 2. Motivation The challenge – AST* in automotive environments … function is bound to technology, but technology is bound to initial key-product design Reliability & performance of those technologies @ risk under automotive loads Risks: Stress exceeds strength EOL reached too early (mission profile) General mech. construction insufficience (cracks, delamination etc.) Parametric deviations Permanent w/o aging effect Reversible / intermittent Partially permanent / reversible with aging effect This work: focuses on mech. induced parametric deviations … *AST = Advanced Semiconductor Technologies Page 5 2. Motivation The challenge – AST in automotive environments Application Parametric drifts outside specified values after 1st operation Similar effect observed for 3 IC vendors / technologies in 2014 so not a single case Lucero, IRPS 2015 Gaps Awareness of technology sensitivity to thermomechanical stress insufficient AEC-Q100 qualification in sockets insufficient to mimic board-level effects under real reflow conditions Wafer technology qualification did not sufficiently consider CPI / CPBI* Leatherman, IRPS 2012 * CPI / CPBI– chip package-board interaction Task: Mimic automotive loads and follow failure RCA* *RCA = Root Cause Analysis Page 6 3. Experimental Approach Quantitative mech. loads & typ. environmental loads Approach I Analysis of SRAM read disturb sensitivity under mechanical load Nano-indentation VdipR – Tests FEM Simulation of mechanical induced stress @ transistor level caused by external forces Calibration of simulation & electrical measurements Approach II Analysis of primitive device electrical aging behavior under mechanical load Effect of uHAST, TC, wafer thinning on HCI behavior Quantify stress, watch effects – conclude knowledge based Page 7 4. Experimental – SRAM read disturb Approach I - mechanical setup for n-indentation 28 nm HKMG 64 Mbit SRAM, full process flow Wafer thinning to 250 µm / Flipchip assembly to 948µPGA package ATE test at 85°C / 25°C of assembled SRAMs Remove of package lid and further down thinning of remaining Sithickness (min. 35 µm) Application of mech. stress by n-indentation @ chip back side Page 8 4. Experimental – SRAM read disturb Approach I - VdipR Test RD – Procedure (RDP) Write step @ Vnom (checkerboard pattern) Voltage dip down to VdipR Read (disturb) step Voltage rise to Vnom & read with pass/fail assessment Repeat @ different mech. load conditions Calibration I VdipR chosen at threshold to bit flip (high sensitivity to mech. load) Drawback – background noise solution: statistical averaging by repeating RDP (fail assessment when > 10 fails in 20 repetitions or # fails per 50 VdipR repetitions ) Fail calibration to mech. load Page 9 4. Results – SRAM read disturb Approach I - Simulation of mechanical induced stress @ transistor level caused by external forces Image overlay of VdipR and von-Mises stress simulation @ 1.3 N Page 12 4. Results – SRAM read disturb Approach I - Simulation of mechanical induced stress @ transistor level caused by external forces Image overlay of VdipR and hydrostatic stress simulation @ 1.3 N Page 13 4. Results – SRAM read disturb Approach I - Simulation of mechanical induced stress @ transistor level caused by external forces Image overlay of VdipR and normal stress in x direction simulation @ 1.3 N Page 14 4. Results – SRAM read disturb Approach I - Simulation of mechanical induced stress @ transistor level caused by external forces Image overlay of VdipR and normal stress in y direction simulation @ 1.3 N Page 15 4. Results – SRAM read disturb Approach I - Simulation of mechanical induced stress @ transistor level caused by external forces Image overlay of VdipR and normal stress in z (indentation) direction simulation @ 1.3 N Page 16 4. Results – SRAM read disturb Approach I - Calibration of simulation & electrical measurements Correlation of the SRAM functionality & simulation stresses through chip operation voltage shift with/without indenter load Determination of voltage shift required to hold cell stable (increase under indentation load) Shift in minimum required SRAM operation voltage with simulation stresses reliability criteria can be derived Page 17 5. Results – TQV test structure chip Approach II – pure HCI aging, higher stress Watch these curves on the next slide HCI effect per channel length with distinct L - separation Page 20 5. Results – TQV test structure chip Approach II – HCI aging after uHAST, higher stress These curves have shifted upwards This form of graphical illustration is insufficient to show the important things TC/uHAST cause a ~const. shift of pMOS Id,sat degradation Page 21 5. Results – TQV test structure chip Approach II – pure HCI aging Effect of HCI stress on pMOS Id,sat degradation Page 22 5. Results – TQV test structure chip Approach II – HCI aging after uHAST / TC + uHAST σ Partially reversible shifts and variance increase Page 23 5. Results – TQV test structure chip Approach II – HCI aging after uHAST / TC + uHAST σ= Shift & variation are voltage dependent Page 24 5. Results – TQV test structure chip Approach II – HCI aging & uHAST, TC, wafer thinning Secondary stress effect is L and V dependent Page 25 6. Discussion Approach II Usually package form-factor related tests are applied after tech-qual rather than investigating the effect already during technology qualification This approach then considers mechanical effects as linear, reversible and without effect on aging In addition the meaning of variability increase / decrease my be underestimated TC after wafer processing before wafer thinning & further assembly may reduce variability Results from Intel (IRPS 2012) show that nMOS Idsat shift is stronger affected as pMOS – we see pMOS sufficiently enough affected Shift is 37-50 % higher when going down from 25 °C to -10 °C Shift is 20 % higher when die thickness is reduced from 200 um to 120 um Page 26 7. Summary Approach I Based on the combination of a smart n-indentation setup, optimized SRAM sensitivity, FEM simulations and corresponding calibration via cell operation voltage adjustment, … … it is now possible to quantify the transfer ratio of externally applied stress to local stress on Si device level, which … … can positively extend current DfR methodologies Approach II For the 1st time the effect of mechanical-stress related tests on primitive device aging has been investigated The results & literature shows, how to further improve corresponding test scenarios (test @ lower temp, decrease die thickness etc.) The effect of mechanical-stress has the potential to significantly change primitive device aging and therefore modelling Page 27 ACKNOWLEDGEMENTS The authors thank the team from GLOBALFOUNDRIES and Fraunhofer IKTS for their support. Especially to mention are: Christoph Sander – IKTS Martin Gall – IKTS Ardechir Pakfar - GLOBALFOUNDRIES Michael Otto – GLOBALFOUNDRIES 5 Sebastian Dej – GLOBALFOUNDRIES Page 28 Seite 29