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.
Authors
- Dinghuan Deng (ORCID: https://orcid.org/0000-0003-4426-4860)
- Yang Qiu (ORCID: https://orcid.org/0000-0001-5148-6635)
- Hao-Miao Zhou (ORCID: https://orcid.org/0000-0002-8150-5136)
- Er‐Ping Li (ORCID: https://orcid.org/0000-0002-5006-7399)
- En‐Xiao Liu (ORCID: https://orcid.org/0000-0002-6357-7574)
- Guoliang Yu (ORCID: https://orcid.org/0000-0002-1493-8070)
- Yan Li (ORCID: https://orcid.org/0000-0003-1809-1695)
- Da Li (ORCID: https://orcid.org/0000-0002-1107-6815)
- Ling Zhang (ORCID: https://orcid.org/0000-0001-8206-3408)
Institutions
- Agency for Science, Technology and Research (SG)
- Institute of High Performance Computing (SG)
- China Jiliang University (CN)
- Zhejiang University (CN)
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
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Natural Science Foundation of Zhejiang Province