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Cascadable in-memory computing based on symmetric writing and read out

Authors :
Wang, Lizheng
Xiong, Junlin
Cheng, Bin
Dai, Yudi
Wang, Fuyi
Pan, Chen
Cao, Tianjun
Liu, Xiaowei
Wang, Pengfei
Chen, Moyu
Yan, Shengnan
Liu, Zenglin
Xiao, Jingjing
Xu, Xianghan
Wang, Zhenlin
Shi, Youguo
Cheong, Sang-Wook
Zhang, Haijun
Liang, Shi-Jun
Miao, Feng
Publication Year :
2022

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 and a more complex nonvolatile half-adder logic function. Our work highlights the potential of PASO quantum materials for the development of scalable energy-efficient and ultrafast spintronic computing.<br />Comment: Accepted by Science Advances

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2211.06610
Document Type :
Working Paper