Comprehensive and macrospin-based magnetic tunnel junction spin torque oscillator model-part I: Analytical model of the MTJ STO
Journal article, 2015

Magnetic tunnel junction (MTJ) spin torque oscillators (STOs) have shown the potential to be used in a wide range of microwave and sensing applications. To evaluate the potential uses of MTJ STO technology in various applications, an analytical model that can capture MTJ STO's characteristics, while enabling system- and circuit-level designs, is of great importance. An analytical model based on macrospin approximation is necessary for these designs since it allows implementation in hardware description languages. This paper presents a new macrospin-based, comprehensive, and compact MTJ STO model, which can be used for various MTJ STOs to estimate the performance of MTJ STOs together with their application-specific integrated circuits. To adequately present the complete model, this paper is divided into two parts. In Part I, the analytical model is introduced and verified by comparing it against measured data of three different MTJ STOs, varying the angle and magnitude of the magnetic field, as well as the DC biasing current. The proposed analytical model is suitable for being implemented in Verilog-A and used for efficient simulations at device, circuit, and system levels. In Part II, the full Verilog-A implementation of the analytical model with accurate phase noise generation is presented and verified by simulations.

magnetic tunnel junction (MTJ)

Analytical model

spin torque oscillator (STO)

macrospin

Author

T. Chen

Royal Institute of Technology (KTH)

A. Eklund

Royal Institute of Technology (KTH)

Ezio Iacocca

University of Gothenburg

S. Rodriguez

Royal Institute of Technology (KTH)

B. G. Malm

Royal Institute of Technology (KTH)

Johan Åkerman

Royal Institute of Technology (KTH)

University of Gothenburg

A. Rusu

Royal Institute of Technology (KTH)

IEEE Transactions on Electron Devices

0018-9383 (ISSN) 15579646 (eISSN)

Vol. 62 3 1037-1044

Subject Categories

Physical Sciences

DOI

10.1109/TED.2015.2390411

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2/1/2022 1