Cascadable in-memory computing based on symmetric writing and read out
Lizheng Wang, Junlin Xiong, Bin Cheng, Yudi Dai, Fuyi Wang, Chen Pan,, Tianjun Cao, Xiaowei Liu, Pengfei Wang, Moyu Chen, Shengnan Yan, Zenglin Liu,, Jingjing Xiao, Xianghan Xu, Zhenlin Wang, Youguo Shi, Sang-Wook Cheong,, Haijun Zhang, Shi-Jun Liang, Feng Miao

TL;DR
This paper introduces a symmetric in-memory computing mechanism using PASO quantum materials, enabling scalable, energy-efficient, and ultrafast spintronic logic operations with direct cascadability.
Contribution
It proposes a novel symmetric write/read mechanism in PASO quantum materials, overcoming asymmetry challenges in p-MTJ devices for in-memory computing.
Findings
Demonstrated field-free, deterministic magnetization reversal in PASO materials.
Implemented complete logic-in-memory operations including a half-adder.
Showed potential for scalable, energy-efficient spintronic computing.
Abstract
The building block of in-memory computing with spintronic devices is mainly based on the magnetic tunnel junction with perpendicular interfacial anisotropy (p-MTJ). The resulting asymmetric write and read-out operations impose challenges in downscaling and direct cascadability of p-MTJ devices. Here, we propose that a new symmetric write and read-out mechanism can be realized in perpendicular-anisotropy spin-orbit (PASO) quantum materials based on Fe3GeTe2 and WTe2. We demonstrate that field-free and deterministic reversal of the perpendicular magnetization can be achieved by employing unconventional charge to z-spin conversion. The resulting magnetic state can be readily probed with its intrinsic inverse process, i.e., z-spin to charge conversion. Using the PASO quantum material as a fundamental building block, we implement the functionally complete set of logic-in-memory operations…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neural Networks and Reservoir Computing · 2D Materials and Applications
