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Magnetic tunnel junctions (MTJs) with low switching current, high thermal stability, and small device size are strongly preferred for low-power, high-reliability, and high-density spintronic memory and logic applications. The research of MTJs from shape in-plane magnetic anisotropy to interfacial perpendicular magnetic anisotropy (i-PMA) has successfully paved the way down to 20-nm scale, below which, however, the i-PMA approach reaches a physical limit in sustaining sufficient thermal stability while achieving low-power spin transfer torque switching. Recently, studies have been reported a new approach to pave the way toward sub-10-nm MTJs satisfying the requirements by revisiting shape perpendicular magnetic anisotropy (s-PMA). In this paper, we present a compact model of the sub-10-nm s-PMA MTJ device, which captures both the static and dynamic physical behaviors. This model is SPICE-compatible for hybrid MTJ/CMOS circuit designs. This paper is expected to push forward the development of sub-10-nm-scale MTJ-based spintronic memory and logic circuits. [ABSTRACT FROM AUTHOR]

Spin-transfer torque magnetic random-access memory (STT-MRAM) based on a single-barrier magnetic tunnel junction (SBMTJ) and a double-barrier magnetic tunnel junction (DBMTJ) has evolved along with a low switching current and low energy consumption to obtain a high areal density and a fast switching speed. The increment of initial temperature, ${T}_{{\text {in}}}$ , in STT-MRAM can achieve low switching energy, ${E}_{{\text {SW}}}$. However, this leads to an unavoidable decrease in $\Delta $ and switching efficiency. In this paper, SBMTJ and DBMTJ were analyzed in terms of the switching efficiency factor with ${E}_{{\text {SW}}}$ reduction by increasing the ${T}_{{\text {in}}}$. The switching temperature, ${T}_{{\text {SW}}}$ , was investigated using a finite-element method simulation. The results show that the DBMTJ(A) and SBMTJ with the same MgO layer thickness of 0.9 nm provide a higher switching current, ${I}_{{\text {C}}}$ , than the DBMTJ(B) with a MgO layer thickness of 1.3 nm. The ${T}_{{\text {SW}}}$ in a DBMTJ(A) is higher than that in an SBMTJ, while ${T}_{{\text {SW}}}$ for a DBMTJ(B) is the smallest because of its low ${I}_{{\text {C}}}$. The DBMTJ(A) and DBMTJ(B) can be applied in a higher temperature range than the SBMTJ at a $\Delta $ of 40. In addition, the STT efficiency factor, $\Delta /{I}_{{\text {C0}}}$ , for a DBMTJ is better than the factor for an SBMTJ. Although the temperature increment would cause an undesirable reduction in $\Delta $ , it can reach a low ${E}_{{\text {SW}}}$ for the requirement of a fast write access time. Therefore, the control device for increasing the ${T}_{{\text {in}}}$ in the MTJs is attractive and should be promoted in the advancement of memory technology. [ABSTRACT FROM AUTHOR]

Stochastic computing (SC) is a promising technology that can be used for low-cost hardware designs. However, SC suffers from its long latency. Although parallel processing can efficiently shorten the latency, duplicated stochastic number generators (SNGs) are necessary, which cause substantial hardware overhead. This paper proposes a scalable SNG based on the spin-Hall-effect (SHE), which is capable of generating multiple independent stochastic streams simultaneously. The design takes advantages of the efficient charge-to-spin conversion from the Spin-Hall material and the intrinsic stochasticity of nanomagnets. Compared to previous spintronic SNGs, the SHE-SNG can reduce the area by $1.6\times -7.8\times $ and the power by $4.9\times -13\times $ while increasing the degree of parallelism from 1 to 16. Compared to CMOS-based SNGs, the proposed SNG obtained $24\times -120\times $ and $53\times $ reduction in terms of area and power, respectively. Finally, three benchmarks were implemented, and the results indicate that SC implementations with the proposed SHE-SNG can achieve $1.2\times -29\times $ reduction of hardware resources compared to implementations with previous CMOS- and spintronic-based designs while scaling the degree of parallelism from 1 to 64. [ABSTRACT FROM AUTHOR]

This paper presents a ternary content-addressable memory (TCAM) cell based on a skewed straintronic magnetotunneling junction (MTJ) switch. A straintronic magnetotunneling junction (s-MTJ) is a three-terminal switch, where the resistance between two of the terminals switches when a potential is applied to the third (gate) terminal that induces strain in the magnetostrictive free-layer. An s-MTJ is a highly energy-efficient switch that would dissipate only ~aJ of energy during switching. This paper discusses a novel variant of s-MTJ, namely skewed s-MTJ (ss-MTJ), where the MTJ switching can be controlled by two gate terminals. The current through an ss-MTJ is minimum when the potentials at the first and second gate terminals ( V2 and V3 , respectively) obey the relation V3 = V2+VF . Here, VF is a fixed voltage (“offset voltage”). Current in an ss-MTJ increases steeply when V2 and V3 deviate from the above “match” condition. This unconventional I – V characteristic of an ss-MTJ is exploited to design a non-Boolean TCAM cell based on just one transistor, one trench capacitor, and one ss-MTJ. We also discuss search and write operations in the ss-MTJ-TCAM cell, and show that the cell requires very small voltages to operate because of the unique I – V characteristics of the ss-MTJ. [ABSTRACT FROM PUBLISHER]

Although spin transfer torque (STT)-based magnetic tunneling junction (MTJ) owns advantages of nonvolatility, nonlimited endurance, and fast write/read, its demand for high current density significantly casts a shadow over its future prospects. Recently, a novel three-terminal MTJ cell that combines voltage-controlled magnetic anisotropy (VCMA) effect and negative capacitance (NC) effect is proposed. Drawing support from the NC amplified VCMA effect and the three-step operation scenario, this novel MTJ cell can dramatically lower the energy consumption to fJ as well as keep high operation speed within nanoseconds. The feasibility of the proposed NC enhanced VCMA spintronics device for memory and logic application is proved by extensive physical simulation in our previous work. However, a SPICE compatible compact model of the proposed NC enhanced VCMA spintronics device is still demanded for circuit and system level evaluation. In this paper, we provide an accurate and fast compact model of NC enhanced VCMA device for both memory and logic applications. [ABSTRACT FROM AUTHOR]

Ferrimagnets (FiMs) are divided into small domains comprising of oppositely polarized magnetic moments and weak anisotropy. FiM possesses a small net magnetization with strong exchange coupling energy. When FiM comes in contact with a material having strong spin–orbit coupling, such as heavy spin Hall metal, the nonlinear magnetic exchange interaction known as Dzyaloshinskii–Moriya interaction (DMI) becomes significant, especially at the FiM/heavy metal (HM) interface. In this paper, we derive the contribution of DMI in FiM magnetization and show that DMI plays a crucial role in FiM magnetization dynamics. We show that torque is being exerted on the interfacial magnetic moments due to DMI, trying to reorient the interfacial magnetization landscape in FiM. On the other hand, exchange coupling tries to resist the external perturbation due to DMI and keep the interfacial magnetic moments at their respective equilibrium positions. Our analysis shows that simultaneous action of DMI and exchange coupling result in small tilting of the interfacial magnetic moments. Moreover, spin-polarized current, injected into the FiM, introduces oscillation due to two different types of spin-transfer torques—namely, “field-like” torque and “damping-like” torque. We also show that the oscillation frequency of magnetic moments near the FiM/HM interface is a function of only internal FiM exchange coupling and interfacial DMI when the injected spin current density is low. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the relationship between size, shape, and the performance of the voltage-controlled magnetic anisotropy (VCMA)-based magnetic tunnel junctions (MTJs) suitable for gigabit scale MRAMs with 10 years of retention time. A Fokker–Planck simulation framework is developed to model the magnetization dynamics in the presence of thermal noise. Here, we numerically show that the optimization of the MTJ geometry can significantly improve the performance of the VCMA-based MTJs. Using an elliptical MTJ with aspect ratio (AR) of 3 reduces the required supply voltage and energy consumption by 80.7% and 92%, respectively, compared to a circular MTJ when the minimum feature size is 50 nm. The design requirements on the VCMA coefficient, ${\xi }$ , are also reduced by 67%. However, the influence of AR is observed to diminish with reduction in the minimum feature size of the MTJ. For instance, when the minimum feature size is 20 nm, the required supply voltage and energy consumption reduce only by 60.29% and 65.30%, respectively. We, then, perform a comprehensive scaling analysis on the VCMA-based MTJs by varying size, geometry, and ${\xi }$ of the MTJs. The predicted scaling trends are then compared with those of the STT MTJs. [ABSTRACT FROM AUTHOR]

In the quest for novel, scalable and energy-efficient computing technologies, spin-based logic devices are being extensively explored due to their potential for nonvolatility, small cell area, and low operational power. Spin torque majority gate (STMG) is one of the most promising options for beyond CMOS nonvolatile logic circuits for normally-off computing. However, significant problems arose with cascade-ability, signal nonreciprocity, and complicated circuit configurations based on STMG. In this paper, a novel magnetic majority gate (MMG) logic has been proposed, utilizing both spin transfer torque and spin–orbit torque effects. A logic family including and/nand and or/nor functions can be achieved with an easy configuration and under a stable operation. Communication between logic units is realized by spin current injection through a nonferromagnetic metal wire to ensure its cascade-ability and nonreciprocity to design multiple logic-depth circuits. With all of these advantages, the proposed cascadable MMGs can be utilized to design logic functions such as the BUFFER/ NOT, XOR/ XNOR, and complicated logic gates, which pave the pathway for designing robust and comprehensive logic circuits using full spintronic devices. [ABSTRACT FROM AUTHOR]

Spin transfer torque (STT)-based switching of magnetic random access memories (MRAMs) has stimulated considerable research interest in recent years. The nonvolatility of STT-MRAMs, high areal density, and low static power dissipation makes them a strong contender for possible replacement of conventional silicon-based memories. However, a major bottleneck associated with STT-MRAMs is their high write current requirement. Recently, it has been demonstrated that the high write current of the STT switching mechanism can be improved by using other magnetic switching techniques like voltage-controlled magnetic anisotropy, spin Hall effect, and magnetoelectric effect. Interestingly, each of these new physics increases the design space to be explored and presents interesting tradeoffs with respect to read and write mechanisms. It is, therefore, important to analyze these devices with respect to their readability, writability, and areal density in a unified framework that is based on the state-of-the-art experimental results. Toward that end, in this paper, we present an overview of various physics underlying these magnetic memories and discuss associated bit-cell circuitry. Furthermore, we present a holistic comparative analysis based on detailed numerical simulations highlighting the various design tradeoffs. [ABSTRACT FROM AUTHOR]

The high current density required by magnetic tunneling junction (MTJ) switching driven by the spin transfer torque (STT) effect leads to large power consumption and severe reliability issues, hindering the timetable for STT magnetic random access memory to mass market. By utilizing the voltage-controlled magnetic anisotropy (VCMA) effect, the MTJ can be switched by the voltage effect and is postulated to achieve ultralow power (fJ). However, the VCMA coefficient measured in experiments cannot meet the requirement for MTJ with dimensions below 100 nm. And an external in-plane magnetic field usually is demanded for precessional VCMA switching. Here, in this paper, a novel approach for the amplification of the VCMA effect, which borrows ideas from negative capacitance, is proposed. The feasibility of the proposal is proved by physical simulation and in-depth analysis. Since the amplified VCMA effect, the external magnetic field can be eliminated. A three-terminal novel MTJ memory cell is designed with which both low power and high speed can be achieved. [ABSTRACT FROM AUTHOR]

Nonvolatile logic computations are of particular interest due to their zero standby leakage power consumption. In this paper, we explore a nonvolatile majority logic using voltage-driven magnetoelectric (ME) switching of ferromagnets. Specifically, we employ ME magnetic tunnel junctions (ME-MTJs) connected in parallel to construct a majority gate. We also present the cascadability of the proposed majority gate using CMOS inverters. Furthermore, through a mixed-mode simulation framework consisting of magnetization dynamics and electron transport model, we analyze the robustness of the proposed majority gate under process variations. Our analysis shows that due to parallel connection of the ME-MTJs, high tunnel magnetoresistance (TMR) ratios are required for proper functioning of the proposed majority gate, in presence of variations. In order to relax the constraints on the TMR requirements, we present an alternate implementation of the majority logic that does not require a parallel connection of ME-MTJs, thereby increasing the robustness against process variations. Energy and delay metrics are presented for a full adder implementation using the proposed majority gates. [ABSTRACT FROM AUTHOR]

The aim of this paper is to introduce a compact model for perpendicular spin-transfer torque (STT)-magnetic tunnel junctions (MTJs) implemented in Verilog-A to assure easy integration with electrical circuit simulators. It takes into account the effects of voltage-dependent perpendicular magnetic anisotropy, temperature-dependent parameters, thermal heating/cooling, MTJ process variations, and the spin-torque asymmetry of the Slonczewski spin-polarization function in the switching process. This translates into a comprehensive modeling that was adopted to investigate the writing performance under voltage scaling of a $256\times256$ STT- magnetic random access memory array implemented at three different technology nodes. Obtained results show that scaling from 30- to 20-nm node allows a write energy saving of about 43%, while the supply voltage that assures the minimum-energy write operation increases. [ABSTRACT FROM PUBLISHER]

Stateful in-memory logic (IML) is a promising paradigm to realize the unity of data storage and processing in the same die, exhibiting great feasibility to break the bottleneck of the conventional von Neumann architecture. On the roadmap toward developing such a logic platform, a critical step is the effective and efficient realization of a complete set of logic functions within a memory. In this paper, we report a realization of stateful reconfigurable logic functions via a single three-terminal magnetic tunnel junction (MTJ) device within a spintronic memory by exploiting the novel voltage-gated spin Hall-effect driven magnetization switching mechanism. This proposed reconfigurable IML methodology can be implemented within either a typical memory array or a cross-point array architecture. The feasibility of the proposed approach is successfully demonstrated with hybrid MTJ/CMOS circuit simulations. We believe our work may promote the research and development of the revolutionary IML for future non-von Neumann architectures. [ABSTRACT FROM PUBLISHER]

The efficiency of the human brain in performing classification tasks has attracted considerable research interest in brain-inspired neuromorphic computing. The spiking neuromorphic architectures attempt to mimic the computations performed in the brain through a dense interconnection of the neurons and synaptic weights. A leaky-integrate-fire (LIF) spiking model is widely used to emulate the dynamics of the biological neurons. In this paper, we propose a spin-based LIF spiking neuron using the magnetoelectric (ME) switching of ferromagnets. The voltage across the ME oxide exhibits a typical leaky-integrate behavior, which in turn switches an underlying ferromagnet. Due to the effect of thermal noise, the ferromagnet exhibits probabilistic switching dynamics, which is reminiscent of the stochasticity exhibited by biological neurons. The energy efficiency of the ME switching mechanism coupled with the intrinsic nonvolatility of ferromagnets results in lower energy consumption, when compared with a CMOS LIF neuron. A device to system-level simulation framework has been developed to investigate the feasibility of the proposed LIF neuron for a hand-written digit recognition application. [ABSTRACT FROM AUTHOR]

Spintronics is the exploitation of both the degree of freedom of electron that is spin as well as the charge, which leads to tremendous development in the field of microelectronic applications. In this paper, bimetallic Co–Ni-based spin FET device is fabricated, and its magnetoresistance behavior has been studied. While, spin current as a function of thickness of Co–Ni-based concatenable spin switch has been studied. The results obtained for spin current using simulation and experimentation show good agreement. [ABSTRACT FROM PUBLISHER]

The effect of voltage on the anisotropy of a magnetic tunnel junction (MTJ) is of substantial interest for low-power nonvolatile memory applications. In this paper, we develop a device-to-bit-cell level simulation framework for voltage-assisted switching of the MTJs, which can satisfactorily reproduce the published experimental data. Our simulation framework is based on a coupled Landau–Lifshitz–Gilbert–Slonczewski equation and nonequilibrium greens function formalism. Using this simulation framework, we investigate the effect of scaling the oxide thickness of an MTJ to enhance the electric field effect. Although it seems attractive for an isolated device, yet, in a bit-cell configuration, reducing the oxide thickness leads to an increase in the supply voltage. In addition, we demonstrate that the unipolar characteristic of the voltage-assisted switching leads to write failures depending on the initial state stored in the MTJ. We, therefore, suggest a read before write scheme exhibiting approximately $2\times $ improvement in the write energy consumption at a bit-cell level compared with a standard STT-MRAM for iso-oxide thickness. However, the latency overhead associated with voltage-assisted MTJs results in a $1.55\times $ degradation of the write speed. Moreover, our layout analysis indicates that the bit-cell area reduction is constrained by the metal pitch, in spite of smaller access transistors. [ABSTRACT FROM AUTHOR]

Deep spiking neural networks are becoming increasingly powerful tools for cognitive computing platforms. However, most of the existing studies on such computing models are developed with limited insights on the underlying hardware implementation, resulting in area and power expensive designs. Although several neuromimetic devices emulating neural operations have been proposed recently, their functionality has been limited to very simple neural models that may prove to be inefficient at complex recognition tasks. In this paper, we venture into the relatively unexplored area of utilizing the inherent device stochasticity of such neuromimetic devices to model complex neural functionalities in a probabilistic framework in the time domain. We consider the implementation of a deep spiking neural network capable of performing high-accuracy and low-latency classification tasks, where the neural computing unit is enabled by the stochastic switching behavior of a magnetic tunnel junction. The simulation studies indicate an energy improvement of $20 \times $ over a baseline CMOS design in 45-nm technology. [ABSTRACT FROM PUBLISHER]

Spin-transfer torque magnetic tunnel junction (MTJ) is a promising candidate for nonvolatile memories thanks to its high speed, low power, infinite endurance, and easy integration with CMOS circuits. However, a relatively high current flowing through an MTJ is always required by most of the switching mechanisms, which results in a high electric field in the MTJ and a significant self-heating effect. This may lead to the dielectric breakdown of the ultrathin ( $\sim 1$ nm) oxide barrier in the MTJ and cause functional errors of hybrid CMOS/MTJ circuits. This paper analyzes the physical mechanisms of time-dependent dielectric breakdown (TDDB) in an oxide barrier and proposes an SPICE-compact model of the MTJ. The simulation results show great consistency with the experimental measurements. This model can be used to execute a more realistic design according to the constraints obtained from simulation. The users can estimate the lifetime, the operation voltage margin, and the failure probability caused by TDDB in the MTJ-based circuits. [ABSTRACT FROM AUTHOR]

Recently, spin-transfer torque magnetic random access memory (STT-MRAM) has been considered as a promising universal memory candidate for future memory and computing systems, thanks to its nonvolatility, high speed, low power, good endurance, and scalability. However, as technology scales down, STT-MRAM suffers from serious process variations and thermal fluctuations, which greatly degrade the performance and stability of STT-MRAM. In general, the optimization and robustness of STT-MRAM under process variations often require a hybrid design flow and multilevel codesign strategies. In this paper, we quantitatively analyze the impacts of process variations and thermal fluctuations on the STT-MRAM performances from physics, technology, and circuit design point of views. Based on the analyses, we found that readability is becoming the newest challenge for deeply scaled STT-MRAM due to the conflict between sensing margin and read disturbance. To deal with this problem, a novel reconfigurable design strategy from device, circuit, and architecture codesign perspective is then presented. Finally, a conceptual hybrid magnetic/CMOS design flow is also proposed for STT-MRAM in deeply scaled technology nodes. [ABSTRACT FROM AUTHOR]

The current-induced perpendicular magnetic anisotropy magnetic tunnel junctions (p-MTJs) offer a number of advantages, such as high density and high speed. As p-MTJs downscale to $\sim 40$ nm, further performance enhancements can be realized thanks to high spin-torque efficiency, i.e., lower critical current density and higher thermal stability. In this paper, we investigate the origin of high spin-torque efficiency and give a phenomenological theory to describe the critical current reduction due to the subvolume activation. Based on various physical theories and structural parameters, a compact model of nanoscale MTJ is developed and demonstrates a satisfactory agreement with experimental results. Dynamic, static, and stochastic switching behaviors have been addressed and validated. Then, we perform mixed simulations for hybrid MTJ/CMOS read/write circuits, magnetic random access memory, and magnetic flip-flop to evaluate their performance. Analyses of energy consumption are given to show the prospect of MTJ technology node miniaturization. [ABSTRACT FROM AUTHOR]

This paper proposes a domain-wall-coupling-based magnetic device for high-speed and robust on-chip cache applications. The read and write current paths are magnetically coupled and electrically isolated, which significantly improves the reliability of the read and write operations. Our proposed device makes use of fast and energy-efficient domain wall motion for write operation. A complementary polarizer structure is used to achieve low-power, high-speed, and high-sensing margin read operations. A device-to-circuits simulation framework was also developed to evaluate our proposed multiterminal domain-wall-coupling-based spin-transfer torque (DWCSTT) magnetic random access memory (MRAM) cell. Compared with the conventional 1T-1MTJ STT-MRAM bit cell, the proposed DWCSTT bit cell achieves >3.5\times improvement in write power under iso-area and iso-write margin conditions, and $>\!\!3\times $ better sensing margin with low read power consumption and higher read disturb margin. [ABSTRACT FROM AUTHOR]

Owing to their nonvolatility, outstanding endurance, high write and read speeds, and CMOS process compatibility, spin-transfer torque magnetoresistive memories (MRAMs) are prime candidates for innovative memory applications. However, the switching delay of their core components—the magnetic tunnel junctions (MTJs)—is a stochastic quantity. To account for this in electronic design, only partial models (working in extreme regimes) are available. In this paper, we propose an analytical model for the stochastic switching delay of a current-driven MTJ, with in-plane magnetization, that agrees with physical simulations, from low- to high-current regimes through intermediate regime. We performed physical macrospin simulations of MTJs for a wide range of current. We developed an analytical model for the mean switching delay that fits those simulations results, and smoothly connects well-accepted models for the extreme low and extreme high currents limits. In addition, a probability distribution in agreement with our simulations results is proposed, leading to a full model of the stochastic switching delay. An example for the application of the model is proposed. Our analytical model can help to evaluate the error rate in MRAM designs, and allow designing innovative electronic circuits that exploit the intrinsic stochastic behavior of MTJs as a beneficial feature. [ABSTRACT FROM PUBLISHER]

Electrical control of magnetic tunnel junctions (MTJs) provides opportunities to introduce MTJs into high-performance applications requiring low power consumption. The magnetic state of an MTJ can be electrically controlled through: 1) the spin transfer torque (STT) effect; 2) the voltage controlled magnetic anisotropy (VCMA) effect; and 3) the fusion of STT and VCMA. Several compact models have been published for MTJs. All of these models consider an MTJ whose magnetic state is controlled through the STT effect. In this paper, a model of an MTJ comprising a free layer, an analysis layer, and a spin polarizing layer is described. The MTJ compact model, adaptive compact MTJ (ACM) model, includes the effects of asymmetry on the MTJ behavior, and models a device controlled through the STT, VCMA, or a fused STT–VCMA mechanism. The ACM model includes the dynamics of the junction temperature. The proposed model can be adapted to experimental configurations including in-plane MTJ (IMTJ), IMTJ with a perpendicular-to-the-plane polarizer, perpendicular-to-the-plane MTJ (PMTJ), and PMTJ with an additional easy axis. The ACM model is validated with published experimental data, showing reasonably accurate results with an average error of less than 6%. [ABSTRACT FROM AUTHOR]

This paper estimates the temperature distribution within a spin-torque-transfer RAM (STTRAM) cell due to self-heating using a thermal simulation based on the finite volume method. The analysis shows that, due to high switching current and small volume of the magnetic tunnel junction (MTJ), there can be significant rise in temperature in the MTJ as well as the silicon transistor. The impacts of the increased temperature on operational reliability metrics of the STTRAM cell, i.e., read disturb, write failure, and sensing accuracy, are evaluated. It is shown that, due to the self-heating effect, the operational reliability of an STTRAM cell depends on the read–write history of that cell. [ABSTRACT FROM AUTHOR]

Magnetic tunnel junctions (MTJs) composed of ferromagnetic layers with perpendicular magnetic anisotropy (PMA) are of great interest for achieving high-density nonvolatile memory and logic chips owing to its scalability potential together with high thermal stability. Recent progress has demonstrated a capacity for high-speed performance and low power consumption through current-induced magnetization switching. In this paper, we present a compact model of the CoFeB/MgO PMA MTJ, a system exhibiting the best tunnel magnetoresistance ratio and switching performance. It integrates the physical models of static, dynamic, and stochastic behaviors; many experimental parameters are directly included to improve the agreement of simulation with experimental measurements. Mixed simulation based on the 65-nm technology node of a magnetic flip-flop validates its relevance and efficiency for MTJ/CMOS memory and logic chip design. [ABSTRACT FROM AUTHOR]

High leakage power in sub-100-nm memory technology nodes drives the need for nonvolatile memory devices to reduce power consumption and enhance battery life. Spin-transfer torque magnetic tunneling junction (STT-MTJ) is a promising nonvolatile memory device with comparable read and write performances as SRAM and eDRAM with almost zero standby power. In this paper, we present a simulation framework that can solve transport [using nonequilibrium Green's function (NEGF) formalism] and magnet dynamics [using Landau–Lifshitz–Gilbert (LLG) equation] self-consistently to study the read and write performances of STT-MTJ. Due to process variations, thermal disturbances, and stray fields, the performance of STT-MTJ degrades and results in one transistor–one STT-MTJ (1T–1STTMTJ) memory failures. A thorough memory design space investigation can help us to reduce such failures. Hence, we present a design space exploration framework for 1T–1STTMTJ memory, which consists of magnetic materials with different RAPA products, different genres of MTJ stacks, and a transistor. A comprehensive study based on critical memory performance metrics such as tunneling magnetoresistance, JC, and write cycle shows the relative merits and demerits of each MTJ stack for embedded memory applications. Finally, the benefits of synthetic antiferromagnet free layer in providing immunity against stray fields are shown illustrating the need for coupled free-layer stacks in scaled technology nodes. [ABSTRACT FROM AUTHOR]