MOSIS - Nano Science and Technology Institute
Transcription
MOSIS - Nano Science and Technology Institute
SPICE BSIM3 Model Parameters Extraction and Optimization for Low Temperature Application Henok Abebe The MOSIS Service USC Viterbi School of Engineering Information Sciences Institute Collaborators: Vance Tyree USC/ISI MOSIS, USA Nankyung Suh Cockerham USC/ISI MOSIS, USA WCM 2009 MOSIS Outline MOSIS • MOSIS Service. • The room temperature SPICE model extraction and optimization strategy . • Room temperature simulation results. • Model extraction and optimization for low temperature application. • Simulation results for temperature ranging from -191 to 1250C . • Conclusion 2 What is MOSIS? MOSIS MOSIS is a low-cost prototyping and small-volume production service for VLSI circuit development. Since 1981, MOSIS has fabricated more than 50,000 circuit designs for commercial firms, government agencies, and research and educational institutions around the world. URL: http://www.mosis.com 3 The Customer Advantages MOSIS 1. A Single Interface to the Semiconductor Industry MOSIS provides designers with a single interface to the constantly changing technologies of the semiconductor industry. Mask generation, wafer fabrication, and device packaging are contracted to leading industry vendors. 2. Low Cost MOSIS keeps the cost of fabricating prototype quantities low by aggregating multiple designs onto one mask set. This allows customers to share overhead costs associated with mask making and wafer fabrication. 4 Advantages (continued) MOSIS 3. Access to Technology MOSIS provides access to a wide variety of semiconductor processes offered by many different foundries: AMIS (now part of ON Semiconductor), austriamicrosystems, IBM, TSMC 4. Compatibility with Tools and Libraries A variety of design flow (digital, analog, mixed-signal) can be used with a number of different CAD tools, technology files, design kits, libraries and IP to create designs for processes accessed by MOSIS. 5 Advantages (continued) MOSIS 5. MOSIS provides electrical test data and SPICE parameters for most wafer lots. •Lot-specific parametric results and SPICE device model parameters are extracted from electrical measurements on wafers probed at MOSIS. •The MOSIS BSIM3v3 model parameters are extracted using I-V data that are measured on a large array of test transistors included in the MOSIS process Monitor. 6 MOSIS Process Monitor MOSIS • DC Parametric Test Structures: e.g. Contact resistance, sheet resistance, thin and thick oxide transistor structures (N and P) and variable ratio inverters. • AC Parametric Test Structures e.g. Area and fringe capacitors. • Functional Test Structures for SPICE model validation: Inverter and 31-stages ring oscillator. 7 MOSIS BSIM3V3 SPICE Model Support MOSIS 1. AMIS 0.50 micron 2. AMIS 0.35 micron 3. AMIS 1.50 micron 4. TSMC 0.18 micron 5. TSMC 0.25 micron SPICE level 3 model parameters for classroom instructional purposes, not for actual IC design work are also available. 6. TSMC 0.35 micron 7. IBM 0.50 micron 8. IBM 0.35 micron 9. IBM 0.25 micron 10. IBM 0.18 micron 11. IBM 0.13 micron 8 BSIM3V3 model extraction and optimization strategy for room temperature application MOSIS •The models generated from our strategies serve the IC design community at no cost, and the model parameter sets give consistent accuracy, validated against wafer electrical test data at MOSIS •By simulating a design using MOSIS SPICE model from several wafer lots, a designer can test his circuit performance over past fabricated lots. Since typical foundry processes are fairly stable, then simulation using past history are useful for providing an estimate of what circuit performance to expect in future wafer lot. 9 MOSIS Strategy for room temperature (continued) •Details on the MOSIS BSIM3V3 room temperature model extraction and optimization strategy that is friendly for automated production use is published in 2007: H. Abebe, V. Tyree, H. Morris and P. T. Vernier, "SPICE BSIM3 model parameter extraction and optimization: Practical consideration." IJEEE, Manchester University Press, Vol. 44, Issue 03, pp 249-262, July (2007) 10 Room temperature simulation results Inverter gain simulation versus measured minimum, maximum and mean percentage errors are shown for different technologies. The minimum and maximum are taken from single points in the data set, and the mean represents the whole data set. MOSIS 11 Simulation results (continued) 31-stages ring oscillator simulation versus measured minimum, maximum and mean percentage errors. MOSIS 12 Simulation results (continued) MOSIS Channel current versus gate voltage in a normal scale for Vds= 0.05 V and Vbs= 0, -0.36,-0.72, -1.08, -1.44, -1.8 V. The solid lines are the simulated 13 result, and the dashed lines are the measured data. Simulation results (continued) MOSIS Channel current versus drain/source voltage in a normal scale forVgs = 1.01, 1.168, 1.326, 1.484, 1.642, 1.8 V and Vbs = 0 V. The solid lines are the simulated result, and the dashed lines are the measured data. 14 Simulation results (continued) MOSIS Output conductance in log scale versus drain/source voltage. 15 Simulation results (continued) MOSIS Transconductance versus gate voltage. 16 Model extraction and optimization for low temperature application (T=-191oc) MOSIS 1. The saturation velocity at temperature T is T − 1) v sat (T ) = v sat (Tnom ) − AT ( Tnom 2. The threshold voltage model in BSIM3v3 is given by Vth (T ) = Vth (Tnom ) + ( K T 1 + K T 1L / Leff T + K T 2Vbseff )( − 1) Tnom 17 Extraction and optimization (continued) MOSIS 3. Source/Drain Parasitic Resistance T − 1) Rdsw (T ) = Rdsw (Tnom ) + PRT ( Tnom 4. Carrier Mobility T U TE ) • μ 0 (T ) = μ 0 (Tnom )( Tnom T • U i (T ) = U i (Tnom ) + U i1 ( − 1) Tnom where i=a, b and c. 18 Extraction and optimization (continued) MOSIS Strategy 1: (Threshold and mobility parameters without body bias effect) This local strategy is applied for wide and long device only. Target parameters: KT1, UTE, UA1 and UB1. It requires Ids versus Vgs data with low Vds and varying Vbs. Strategy 2: (Threshold and mobility parameters with body bias effect) This local strategy is applied for wide and long device only. Target parameters: KT2 and UC1. It requires Ids versus Vgs data with low Vds and varying Vbs. 19 Extraction and optimization (continued) MOSIS Strategy 3: (Threshold and channel resistance parameters) This local strategy is applied for wide and short device. Target parameters: KT1L and PRT It requires Ids versus Vgs data with low Vds and varying Vbs. Strategy 4: (Low Bias Drain Saturated Current Parameters.) This local optimization strategy uses only short channel devices. Target parameter: AT. It requires Ids versus Vds data with low |Vbs| and varying Vgs. 20 Simulation results for temperature T=-1910C MOSIS 21 NMOS device channel current versus source/drain voltage at -1910C. for temperature T=-1910C (continued) PMOS device channel current versus source/drain voltage at -1910C MOSIS 22 for temperature T=-1910C (continued) PMOS device channel current versus gate voltage at -1910C. MOSIS 23 Simulation results for temperature ranging from -191 to 1250C Ring oscillator frequency (MHz) 150 Measured Simulated 140 130 120 110 100 90 80 50 100 150 200 250 300 350 400 T(K) %|error| 10 5 0 50 Error bar Mean 100 150 200 250 T(K) 300 350 400 450 31-stages Ring oscillator frequency versus temperature. MOSIS Conclusion MOSIS • We believe the larger percentage error for high temperature T=125oC compared to the low temperature T=-191oC is due to the main uses of linear extrapolation in the BSIM3v3 model to capture the temperature effect. 25