Energy‐Efficient Ultrafast SOT‐MRAMs Based on Low‐Resistivity Spin Hall Metal Au0.25Pt0.75

Abstract

Many key electronic technologies (e.g., large‐scale computing, machine learning, and superconducting electronics) require new memories that are at the same time fast, reliable, energy‐efficient, and of low‐impedance, which has remained a challenge. Nonvolatile magnetoresistive random access memories (MRAMs) driven by spin–orbit torques (SOTs) have promise to be faster and more energy‐efficient than conventional semiconductor and spin‐transfer‐torque magnetic memories. It is reported that the spin Hall effect of low‐resistivity Au0.25Pt0.75 thin films enables ultrafast antidamping‐torque switching of SOT‐MRAM devices for current pulse widths as short as 200 ps. If combined with industrial‐quality lithography and already‐demonstrated interfacial engineering, an optimized MRAM cell based on Au0.25Pt0.75 can have energy‐efficient, ultrafast, and reliable switching, for example, a write energy of −5) for 1 ns pulses. The antidamping torque switching of the Au0.25Pt0.75 devices is ten times faster than expected from a rigid macrospin model, most likely because of the fast micromagnetics due to the enhanced nonuniformity within the free layer. The feasibility of Au0.25Pt0.75‐based SOT‐MRAMs as a candidate for ultrafast, reliable, energy‐efficient, low‐impedance, and unlimited‐endurance memory is demonstrated.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 14, 2020
Source ID
10.1002/aelm.201901131

Entities

People

  • Daniel C. Ralph
  • Lijun Zhu
  • Lujun Zhu
  • Robert A. Buhrman
  • Shengjie Shi

Organizations

  • Cornell University
  • National Natural Science Foundation of China
  • National Science Foundation
  • Office of Naval Research
  • Shaanxi Normal University

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Integrated Circuit Design and Technology.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • AI & ML
  • Microelectronics
  • Space