Conference Presentation (After Call) FZJ-2024-05636

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3.35V High Voltage Electroforming Generator in 28nm with 5.3mV ripple and 46% efficiency for HfO2 based Memristors

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2024

International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Application to Circuit Design, SMACD 2024, VolosVolos, Greece, 2 Jul 2024 - 5 Jul 20242024-07-022024-07-05

Abstract: A high voltage (HV) that is usually not available in modern nodes is required to form memristors. A scalable implementation requires the HV to be generated on chip and this work proposes such a generator. In a 28nm CMOS process, a three-stage charge pump (CP) is designed in the absence of HV-transistors. For the HfO2 based memristor electroforming (EF), a developed CP runs with an efficiency of 46.5% at an output voltage of 3.35V and a load current of 184.9μA from a 1.8V supply. The optimum design strategy for a cross-coupled charge pump (CC-CP) is explained for a low ripple < 6mV, while at the same time ensuring lower capacitor value and high reliability. The results of an over-voltage analytical investigation have important ramifications for lowering the overall area without compromising output voltage or CP efficiency. Monte Carlo simulation for 200 samples were also performed to verify the design’s robustness. However, the proposed design can be readily extended to any memristor application or material, thereby paving the way for the integration of fully integrated chips (ICs) for memristor EF in smaller technology nodes.

Keyword(s): Engineering, Industrial Materials and Processing (1st)


Contributing Institute(s):
  1. Zentralinstitut für Elektronik (ZEA-2)
Research Program(s):
  1. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
  2. BMBF 16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0398K) (BMBF-16ME0398K)

Appears in the scientific report 2024
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Dokumenttypen > Präsentationen > Konferenzvorträge
Institutssammlungen > ZEA > ZEA-2
Institutssammlungen > PGI > PGI-4
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 Datensatz erzeugt am 2024-09-24, letzte Änderung am 2025-01-29



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