Circuit Simulation of Magnetization Dynamics and Spin Transport

Bonhomme, Phillip; Manipatruni, Sasikanth; Iraei, Rouhollah Mousavi; Rakheja, Shaloo; Chang, Sou-Chi; Nikonov, Dmitri E.; Young, Ian A.; Naeemi, Azad

doi:10.1109/ted.2014.2305987

Cited by 39 publications

(18 citation statements)

References 24 publications

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“…Complicated circuits such as Fig. 2a , that are tedious to solve analytically can be routinely simulated using standard circuit simulators 13 14 15 16 17 18 19 . In the Supplementary Information we show comparisons between experimentally obtained angular MR with the analytical results obtained in this section that are numerically validated using SPICE.…”

Section: Spin Valvesmentioning

confidence: 99%

“…The LLG module is a circuit that solves the Landau-Lifshitz-Gilbert equation to obtain the time-dependent magnetization dynamics in presence of magnetic fields and spin-currents. There are several possible ways of implementing the LLG solver as a circuit 16 50 . The LLG solver implemented here is an op-amp circuit that integrates with an initial condition .…”

Section: Spin Valvesmentioning

confidence: 99%

“… 13 , 14 , further expanded and used extensively in Ref. 15 , 16 , 17 , 18 , 19 . The primary contribution of this paper is to establish the ground rules or protocols for a modular approach that is founded on such spin-circuits by (1) expanding the existing list of circuit models and (2) enabling the introduction of new materials and phenomena to build a lasting bridge between materials scientists and circuit designers as both the fields of spintronics and nanomagnetics progress.…”

mentioning

confidence: 99%

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Modular Approach to Spintronics

Çamsarı¹,

Ganguly²,

Datta³

2015

Sci Rep

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There has been enormous progress in the last two decades, effectively combining spintronics and magnetics into a powerful force that is shaping the field of memory devices. New materials and phenomena continue to be discovered at an impressive rate, providing an ever-increasing set of building blocks that could be exploited in designing transistor-like functional devices of the future. The objective of this paper is to provide a quantitative foundation for this building block approach, so that new discoveries can be integrated into functional device concepts, quickly analyzed and critically evaluated. Through careful benchmarking against available theory and experiment we establish a set of elemental modules representing diverse materials and phenomena. These elemental modules can be integrated seamlessly to model composite devices involving both spintronic and nanomagnetic phenomena. We envision the library of modules to evolve both by incorporating new modules and by improving existing modules as the field progresses. The primary contribution of this paper is to establish the ground rules or protocols for a modular approach that can build a lasting bridge between materials scientists and circuit designers in the field of spintronics and nanomagnetics.

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Section: Spin Valvesmentioning

confidence: 99%

Section: Spin Valvesmentioning

confidence: 99%

mentioning

confidence: 99%

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Modular Approach to Spintronics

Çamsarı¹,

Ganguly²,

Datta³

2015

Sci Rep

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“…The models utilized in this work are based on [17] where the different physical effects are captured. The accurate parameters of channel, magnet and interface that determine different performance characteristics, e.g., the spin injection, detection and transport efficiency are taken into account.…”

Section: All-spin Logic Devicesmentioning

confidence: 99%

Smart Detector Cell: A Scalable All-Spin Circuit for Low Power Non-Boolean Pattern Recognition

Aghasi

Iraei

Naeemi

et al. 2016

IEEE Trans. Nanotechnology

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Abstract-We present a new circuit for non-Boolean recognition of binary images. Employing all-spin logic (ASL) devices, we design logic comparators and non-Boolean decision blocks for compact and efficient computation. By manipulation of fan-in number in different stages of the circuit, the structure can be extended for larger training sets or larger images. Operating based on the mainly similarity idea, the system is capable of constructing a mean image and compare it with a separate input image within a short decision time. Taking advantage of the non-volatility of ASL devices, the proposed circuit is capable of hybrid memory/logic operation. Compared with existing CMOS pattern recognition circuits, this work achieves a smaller footprint, lower power consumption, faster decision time and a lower operational voltage.

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“…Magnet orientation and electron spin are both vectors and therefore need to be represented in terms of their x, y, and z components. A comprehensive equivalent circuit model that captures all these effects has been developed in [26].…”

Section: Interconnect Performancementioning

confidence: 99%

BEOL Scaling Limits and Next Generation Technology Prospects

Naeemi

Ceyhan

Kumar

et al. 2014

Proceedings of the 51st Annual Design Automation Conference

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This paper presents the major limitations to the interconnect technology scaling at future technology generations and demonstrates both evolutionary and radical potential solutions to the BEOL scaling problem. To address the local interconnect challenges, a novel hybrid Al-Cu interconnect technology is introduced. Performances of carbon-based interconnects are evaluated as a more radical solution. The impact of interconnects and the optimal interconnect options are investigated for emerging next generation devices. Interconnects for new state variables, namely spintronic interconnects, are studied and their potential performances in an all-spin logic system are evaluated.

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Circuit Simulation of Magnetization Dynamics and Spin Transport

Cited by 39 publications

References 24 publications

Modular Approach to Spintronics

Modular Approach to Spintronics

Smart Detector Cell: A Scalable All-Spin Circuit for Low Power Non-Boolean Pattern Recognition

BEOL Scaling Limits and Next Generation Technology Prospects

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