journal article·2025-10-21

Spin–Orbit Torque-Assisted Voltage-Controlled Magnetization Switching for Reliable Nonvolatile Memory

Qingyuan Shu, Yang Cheng, Albert Lee, Tyler Schopen, Haoran He, Junzheng Guan, Chih-Yao Wang, Shan-Yi Yang, Yu-Chen Hsin, Cheng-Yi Shih, Hsin-Han Lee, Jeng-Hua Wei, Hwajeong Lee, Puyang Huang, Tianyi Wang, Tao Qu, Bingqian Dai, Kang L. Wang

ACS Nano· Volume 19· Issue 41
Publisher page

Abstract

Voltage-controlled magnetic or magnetoelectric random-access memory (VC-MRAM or MeRAM), which leverages the voltage-controlled magnetic anisotropy (VCMA) effect, enables efficient ultrafast device switching on subnanosecond time scales with write energy E w below femtojoules. However, the high write error rates (WER)─stemming from the oscillatory nature of voltage switching─hinders its development and necessitates precise time control of write pulses. Ideally, spin–orbit torque (SOT) can also support ultrafast magnetization switching, provided the current exceeds a critical threshold, determined by the magnetic anisotropy. Here, we demonstrate a back-end-of-line compatible device utilizing a Ta/Mo seed layer capable of operating in VC, SOT, or hybrid modes. In the hybrid mode, we apply subcritical SOT current to assist VCMA-induced switching. The WER of VC-MRAM can be reduced by over two orders of magnitude, which is attributed to modified magnetization dynamics and the change of micromagnetic free energy during the operation. The enhancement in WER results in an improved energy-delay product surpasses that of the conventional VC-MRAM scheme. Simulations further show that the improved performance positions the SOT-assisted VC-MRAM as a promising candidate for compute-in-memory applications, including binary neural networks.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Magnetic properties of thin films · Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Computer Engineering

University of California

Industrial Technology Research Institute

Department of Electrical Engineering and Computer Science

Daegu Gyeongbuk Institute of Science & Technology

Department of Physics and Astronomy

Funding

Multidisciplinary University Research Initiative · Defense Advanced Research Projects Agency · Air Force Research Laboratory · Division of Electrical, Communications and Cyber Systems · Division of Materials Research

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