scholarly journals Demands for spin-based nonvolatility in emerging digital logic and memory devices for low power computing

2018 ◽  
Vol 31 (4) ◽  
pp. 529-545
Author(s):  
Viktor Sverdlov ◽  
Siegfried Selberherr

Miniaturization of semiconductor devices is the main driving force to achieve an outstanding performance of modern integrated circuits. As the industry is focusing on the development of the 3nm technology node, it is apparent that transistor scaling shows signs of saturation. At the same time, the critically high power consumption becomes incompatible with the global demands of sustaining and accelerating the vital industrial growth, prompting an introduction of new solutions for energy efficient computations. Probably the only radically new option to reduce power consumption in novel integrated circuits is to introduce nonvolatility. The data retention without power sources eliminates the leakages and refresh cycles. As the necessity to waste time on initializing the data in temporarily unused parts of the circuit is not needed, nonvolatility also supports an instanton computing paradigm. The electron spin adds additional functionality to digital switches based on field effect transistors. SpinFETs and SpinMOSFETs are promising devices, with the nonvolatility introduced through relative magnetization orientation between the ferromagnetic source and drain. A successful demonstration of such devices requires resolving several fundamental problems including spin injection from metal ferromagnets to a semiconductor, spin propagation and relaxation, as well as spin manipulation by the gate voltage. However, increasing the spin injection efficiency to boost the magnetoresistance ratio as well as an efficient spin control represent the challenges to be resolved before these devices appear on the market. Magnetic tunnel junctions with large magnetoresistance ratio are perfectly suited as key elements of nonvolatile CMOS-compatible magnetoresistive embedded memory. Purely electrically manipulated spin-transfer torque and spin-orbit torque magnetoresistive memories are superior compared to flash and will potentially compete with DRAM and SRAM. All major foundries announced a near-future production of such memories. Two-terminal magnetic tunnel junctions possess a simple structure, long retention time, high endurance, fast operation speed, and they yield a high integration density. Combining nonvolatile elements with CMOS devices allows for efficient power gating. Shifting data processing capabilities into the nonvolatile segment paves the way for a new low power and high-performance computing paradigm based on an in-memory computing architecture, where the same nonvolatile elements are used to store and to process the information.

Author(s):  
Li Liu ◽  
Shizhuo Ye ◽  
Jin He ◽  
Qijun Huang ◽  
Hao Wang ◽  
...  

Abstract Recently, the study on two-dimensional materials expands to the field of spintronics. The intrinsically ferromagnetic van der Waals materials such as CrI3 and CrBr3 receive much attention due to nearly 100% spin polarization and good stability, resulting in excellent performance in magnetic tunnel junctions. In this work, we design the magnetic tunnel junctions of Cu/CrI3/Cu and Cu/CrBr3/Cu with the electrodes of Cu(111) and the tunneling barrier of 4-monolayer CrI3 or CrBr3. Our first-principle calculations combined with nonequilibrium Green’s function method indicate that the CrBr3-based MTJ has a larger maximum tunneling magnetoresistance ratio than the CrI3-based MTJ. In a wide bias voltage range, the CrI3-based MTJ can maintain high spin filtering performance, while that of the CrBr3-based MTJ degrades sharply as the bias voltage increases. It is noted that negative differential resistance effect is observed in the CrBr3-based MTJ. The differences of spin transport properties between the CrI3-based MTJ and the CrBr3-based MTJ are clarified in terms of the inside device physics, including the spin-dependent projected density of states, band structures, Bloch states, and the electron density difference. This work provides some physical insights for the design of 2D van der Waals MTJ.


2021 ◽  
Author(s):  
Christian Petersen ◽  
Ola Strand ◽  
Espen Sten Johansen ◽  
Dag Almar Hansen ◽  
Dag Ketil Fredheim ◽  
...  

Abstract E&P companies are increasingly challenged with cost-effective development or upgrade of remote fields, ensuring crew safety and regulatory requirements for reducing environmental impact. Remote operations and unmanned platforms have significantly lower CO2 emissions and lowerCAPEX and OPEX in areas of sparse infrastructure. Complete electrification of safety critical control systems is key to maintain safe production while digitization, automation and condition based maintenance reduce required on-site personnel. An all-electric wellhead- and production tree valve actuator for handling emergency situations has been developed under a Joint Industry Project by Equinor, Baker Hughes and TECHNI. PACT utilize a completely new, patent pending failsafe mechanism that is inherently safe without requirement for redundancy. PACT contains an embedded controller and sensors with extremely low power consumption rendering it well suited for solar/alternate power sources. A new super-capacitor is under development in partnership with the University of Southeast Norway, that in combination with the fastest failsafe mechanism ever ensure safety in all modes of operation, even with all lines down or consumed by flames. Electric actuators offer significant CAPEX savings over hydraulic actuators by eliminating costly hydraulic control systems and hydraulic lines as well as saving space and weight. Overall system cost is significantly lower than hydraulic systems (Equinor estimates at around USD 2million per well for an unmanned platform) while also reducing emissions and environmental impact. Globally, there are approximately 7000 offshore platforms of which 1600 are unmanned (200 in the Middle East). The existing population of unmanned platforms is undergoing continual upgrades and there are significant cost savings by using the PACT as a drop-in replacement for existing hydraulic systems, while enabling fully digitized, remote control and autonomous operations. Low power consumption, weight and a small footprint renders it equally suited for land wells, including retrofit upgrades without reinforcing infrastructure. PACT is designed to be an integral part of automated and remote-control systems and the modular technology is also being adopted for subsea trees, as well as other mission critical pressure control applications. Given the significant benefits in simplifying operations and reducing cost while improving HSSE, leading E&P companies including Equinor, Total, Aker BP and others have chosen electric operations as future technology platform for both topside and subsea operations. Embedded force-, pressure-, temperature- and vibration sensors enable data-driven, fact- and condition based maintenance. Aggregating real-time and historical data, component- and system models ensures fully remote/autonomous operation with a digital twin. The novel failsafe-mechanism fronts the most reliable action of all times while the patent pending solution ensures closing times down to 1 second. In 2020 the consortium was awarded USD 950 000 in government support funding and in May 2021 PACT won OTC Spotlight on New Technology award. The paper aims to show how the technology works and underline why it will take a place in the future of well control and production.


Computation ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 39 ◽  
Author(s):  
Varadarajan Rengaraj ◽  
Michael Lass ◽  
Christian Plessl ◽  
Thomas D. Kühne

In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever-growing application. A major limitation, however, is that the high efficiency in terms of performance and low power consumption entails the massive usage of low precision computing units. Here, based on the approximate computing paradigm, we present an algorithmic method to compensate for numerical inaccuracies due to low accuracy arithmetic operations rigorously, yet still obtaining exact expectation values using a properly modified Langevin-type equation.


Nanoscale ◽  
2015 ◽  
Vol 7 (17) ◽  
pp. 8142-8148 ◽  
Author(s):  
Min-Su Jeon ◽  
Kyo-Suk Chae ◽  
Du-Yeong Lee ◽  
Yasutaka Takemura ◽  
Seung-Eun Lee ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Hyein Lim ◽  
Seungjun Lee ◽  
Hyungsoon Shin

Spin-transfer torque-based magnetoresistive random access memory (STT-MRAM) is a promising candidate for universal memory that may replace traditional memory forms. It is expected to provide high-speed operation, scalability, low-power dissipation, and high endurance. MRAM switching technology has evolved from the field-induced magnetic switching (FIMS) technique to the spin-transfer torque (STT) switching technique. Additionally, material technology that induces perpendicular magnetic anisotropy (PMA) facilitates low-power operation through the reduction of the switching current density. In this paper, the modeling of magnetic tunnel junctions (MTJs) is reviewed. Modeling methods and models of MTJ characteristics are classified into two groups, macromodels and behavioral models, and the most important characteristics of MTJs, the voltage-dependent MTJ resistance and the switching behavior, are compared. To represent the voltage dependency of MTJ resistance, some models are based on physical mechanisms, such as Landau-Lifshitz-Gilbert (LLG) equation or voltage-dependent conductance. Some behavioral models are constructed by adding fitting parameters or introducing new physical parameters to represent the complex switching behavior of an MTJ over a wide range of input current conditions. Other models that are not based on physical mechanisms are implemented by simply fitting to experimental data.


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