Signal Integrity and Coupling Electric Field Analysis of a Novel Double-Layer RRAM Crossbar Array in Neuromorphic Chips

The three-dimensional stacking technology of crossbar arrays in neuromorphic chips offers significant potential for future storage and computing advancements. To reduce RC delay and increase interconnect density, this paper proposes a novel double-layer RRAM crossbar array structure with monolithic vias (MIVs), comprising two identical RRAM crossbar arrays on the top and bottom layers, vertically connected by four parallel MIVs. Firstly, we extracted the equivalent circuit of the structure in ANSYS Q3D software, including resistance, parasitic inductance, and coupling capacitance. Subsequently, the spiking signal is added to the RRAM crossbar array to analyze the signal integrity problem from three perspectives: array size, coupling capacitance, and the presence or absence of parasitic inductance. The findings reveal that the increase in array size and coupling capacitance, and the presence of parasitic inductance can lead to signal integrity issues such as IR drop, crosstalk, and ripple. Furthermore, an electromagnetic coupling analysis is conducted to explore interactions between parallel and vertical interconnects during signal transmission. The findings highlight that adjusting the structure-to-ground distance significantly suppresses the coupling electric field, reducing its intensity from 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sup> to 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup>, thus improving system stability.

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Publication Details

Journal
IEEE Transactions on Components Packaging and Manufacturing Technology
Published
2025-06-24
DOI
https://doi.org/10.1109/tcpmt.2025.3582112
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Signal Integrity and Coupling Electric Field Analysis of a Novel Double-Layer RRAM Crossbar Array in Neuromorphic Chips

Dinghuan Deng, Yang Qiu, Hao-Miao Zhou, Er‐Ping Li et al.
IEEE Transactions on Components Packaging and Manufacturing Technology
Advanced Memory and Neural Computing
article

Signal Integrity and Coupling Electric Field Analysis of a Novel Double-Layer RRAM Crossbar Array in Neuromorphic Chips

Dinghuan Deng, Yang Qiu, Hao-Miao Zhou, Er‐Ping Li, En‐Xiao Liu, Guoliang Yu, Yan Li, Da Li, Ling Zhang
article en

Abstract

The three-dimensional stacking technology of crossbar arrays in neuromorphic chips offers significant potential for future storage and computing advancements. To reduce RC delay and increase interconnect density, this paper proposes a novel double-layer RRAM crossbar array structure with monolithic vias (MIVs), comprising two identical RRAM crossbar arrays on the top and bottom layers, vertically connected by four parallel MIVs. Firstly, we extracted the equivalent circuit of the structure in ANSYS Q3D software, including resistance, parasitic inductance, and coupling capacitance. Subsequently, the spiking signal is added to the RRAM crossbar array to analyze the signal integrity problem from three perspectives: array size, coupling capacitance, and the presence or absence of parasitic inductance. The findings reveal that the increase in array size and coupling capacitance, and the presence of parasitic inductance can lead to signal integrity issues such as IR drop, crosstalk, and ripple. Furthermore, an electromagnetic coupling analysis is conducted to explore interactions between parallel and vertical interconnects during signal transmission. The findings highlight that adjusting the structure-to-ground distance significantly suppresses the coupling electric field, reducing its intensity from 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sup> to 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup>, thus improving system stability.

IEEE Transactions on Components Packaging and Manufacturing TechnologyVol. 15(8)
Agency for Science, Technology and Research (SG), Institute of High Performance Computing (SG), China Jiliang University (CN), Zhejiang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Memory and Neural Computing
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