Novel M-CNN design fostering gradual switching of InGaZnO(IGZO)-based memristive devices

Published: May 28, 2026

In this study, we developed a simulation framework linking measured I-V characteristics of gradual-switching IGZO-based memristive devices to M-CellNN operation and proposed a symmetrized cell design that compensates for device asymmetry and improves operational stability.

A circuit diagram with resistors, capacitors, and inductors, followed by two graphs showing voltage and current characteristics with shaded regions. (Mistral: Mistral Medium 3.5, 2026-07-29)

Journal: 2026 IEEE International Symposium on Circuits and Systems (ISCAS), May 24th -27th, 2026, Shanghai, China
Authors: P. Yuan, K. Schnieders, Y. Wang, V. Ntinas, M. E. Pereira, V. Rana, A. Ascoli, R. Tetzlaff, R. Dittmann, S. Menzel
DOI: 10.1109/ISCAS66217.2026.11562042
Funding; NEUROTEC (Grants No 16ME0398K and No 16ME0399),
NeuroSys (03ZU1106AB)
TRR 404 Active-3D (project number: 528378584) 
Mem2CNN (441957207)

Contact

Peijia Yuan

Doctoral researcher

  • Peter Grünberg Institute (PGI)
  • Electronic Materials (PGI-7)
Building 04.6 /
Room 43
+49 2461/61-6053
E-Mail

Dr.-Ing. Stephan Menzel

Group Leader - Modeling and simulation of novel electronic devices

  • Peter Grünberg Institute (PGI)
  • Electronic Materials (PGI-7)
Building 04.6 /
Room R 51
+49 2461/61-5339
E-Mail

Prof. Dr. Regina Dittmann

Director Electronic Materials (PGI-7)

  • Peter Grünberg Institute (PGI)
  • Electronic Materials (PGI-7)
Building 04.6 /
Room 49b
+49 2461/61-4760
E-Mail

Dr. Vikas Rana

Group Leader

  • Peter Grünberg Institute (PGI)
  • Electronic Materials (PGI-7)
Building 04.6 /
Room R 22
+49 2461/61-6074
E-Mail
Last Modified: 29.07.2026