Analysis of Bridge Defects in STT-MRAM Cells Under Process Variations and a Robust DFT Technique for Their Detection

Spin-Transfer-Torque Magnetic RAM (STT-MRAM) is a promising non-volatile memory technology due to its ultra-integration density capability, nanosecond speeds for reading and writing operations and CMOS/FinFET fabrication process compatibility. STT-MRAMs may be affected by manufacturing defects, which may be challenging to detect under process variations in deeply scaled semiconductor technologies. Because of this, the importance of test techniques to target defects in this emerging memory technology. In this work, an STT-MRAM bit-cell is presented with its states due to the magnetic orientation of the ferromagnetic layers. The read and write operations of an STT-MRAM cell, including the read and write circuits, are revised in the scope of this work. The write time definition for an STT-MRAM cell is also revised. A defect model is used to analyze the STT-MRAM cell under short defects in the presence of process variations. A Design-For-Test (DFT) circuit to detect short defects in the STT-MRAM cells is proposed. The proposed methodology is based on the observation that a short defect modifies the amplitude of the currents entering and leaving the memory cell. Hence, the current difference between the currents entering and leaving the memory cell is used to discriminate between good cells and defective cells. The proposed DFT circuitry is robust to process-induced parameters variations in the memory cell. In such a way, defects detection probabilities are increased, and a high-quality product can be guaranteed.

[1]  Yiran Chen,et al.  STT-RAM Cell Optimization Considering MTJ and CMOS Variations , 2011, IEEE Transactions on Magnetics.

[2]  S. Yuasa,et al.  Giant room-temperature magnetoresistance in single-crystal Fe/MgO/Fe magnetic tunnel junctions , 2004, Nature materials.

[3]  Mehdi B. Tahoori,et al.  Design of Defect and Fault-Tolerant Nonvolatile Spintronic Flip-Flops , 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[4]  Kaushik Roy,et al.  SPICE Models for Magnetic Tunnel Junctions Based on Monodomain Approximation , 2013 .

[5]  Fabian Vargas,et al.  Effectiveness of a hardware-based approach to detect resistive-open defects in SRAM cells under process variations , 2016, Microelectron. Reliab..

[6]  Mehdi Baradaran Tahoori,et al.  Read disturb fault detection in STT-MRAM , 2014, 2014 International Test Conference.

[7]  Michel Renovell,et al.  Behavior and test of open-gate defects in FinFET based cells , 2016, 2016 21th IEEE European Test Symposium (ETS).

[8]  Soumitra Pal,et al.  Implementation of FinFET based STT-MRAM bitcell , 2014, 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies.

[9]  M. Hosomi,et al.  A novel nonvolatile memory with spin torque transfer magnetization switching: spin-ram , 2005, IEEE InternationalElectron Devices Meeting, 2005. IEDM Technical Digest..

[10]  Erik Jan Marinissen,et al.  Electrical Modeling of STT-MRAM Defects , 2018, 2018 IEEE International Test Conference (ITC).

[11]  K. Roy,et al.  Modeling of dielectric breakdown-induced time-dependent STT-MRAM performance degradation , 2011, 69th Device Research Conference.

[12]  Kaushik Roy,et al.  Spin-Transfer Torque Memories: Devices, Circuits, and Systems , 2016, Proceedings of the IEEE.

[13]  Qiang Xu,et al.  On modeling faults in FinFET logic circuits , 2012, 2012 IEEE International Test Conference.

[14]  Swaroop Ghosh,et al.  Impact of process-variations in STTRAM and adaptive boosting for robustness , 2015, 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[15]  Arijit Raychowdhury,et al.  A Model Study of Defects and Faults in Embedded Spin Transfer Torque (STT) MRAM Arrays , 2015, 2015 IEEE 24th Asian Test Symposium (ATS).

[16]  Chaitali Chakrabarti,et al.  Enhancing the Reliability of STT-RAM through Circuit and System Level Techniques , 2012, 2012 IEEE Workshop on Signal Processing Systems.

[17]  Yiran Chen,et al.  Asymmetry of MTJ switching and its implication to STT-RAM designs , 2012, 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[18]  Xuanyao Fong,et al.  Bit-Cell Level Optimization for Non-volatile Memories Using Magnetic Tunnel Junctions and Spin-Transfer Torque Switching , 2012, IEEE Transactions on Nanotechnology.

[19]  Víctor H. Champac,et al.  Robust Detection of Bridge Defects in STT-MRAM Cells Under Process Variations , 2018, 2018 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC).

[20]  Arijit Raychowdhury,et al.  Analysis of Defects and Variations in Embedded Spin Transfer Torque (STT) MRAM Arrays , 2016, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[21]  M. Noda,et al.  Uniform latin square interleaving for correcting two-dimensional burst errors , 2005, IEEE Transactions on Magnetics.

[22]  Z. Diao,et al.  Spin-transfer torque switching in magnetic tunnel junctions and spin-transfer torque random access memory , 2007 .

[23]  Yervant Zorian,et al.  Fault modeling and test algorithm creation strategy for FinFET-based memories , 2014, 2014 IEEE 32nd VLSI Test Symposium (VTS).

[24]  J. M. Slaughter,et al.  ST-MRAM fundamentals, challenges, and applications , 2013, Proceedings of the IEEE 2013 Custom Integrated Circuits Conference.

[25]  Paolo Prinetto,et al.  Challenges and Solutions in Emerging Memory Testing , 2019, IEEE Transactions on Emerging Topics in Computing.

[26]  Jean Marc Gallière,et al.  Detectability Challenges of Bridge Defects in FinFET Based Logic Cells , 2018, Journal of electronic testing.

[27]  Etienne,et al.  Giant magnetoresistance of (001)Fe/(001)Cr magnetic superlattices. , 1988, Physical review letters.