Controllable coexistence of threshold and non-volatile crosspoint memory for highly linear synaptic device applications

Parthasarathi Pal, Amit Singh, Yeong Her Wang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

A highly reliable and versatile resistive memory device that demonstrates threshold and non-volatile memory (NVM) switching behaviour depending on the compliance current (CC) modulation was utilised by doping a semiconducting (Si) material into a high-k (HfO x ) film with highly linear synaptic behaviour. The device shifted towards volatile switching at a CC less than 1 μA and exhibited NVM behaviour at a CC limit above 10 μA. A 3-bit/cell data storage capability on RESET voltage modulation was implemented for high-density memory application. The device exhibited excellent programming linearity of potentiation/depression responses up to 10 000 pulses compatible with fast pulse (100 ns) with good I ON/I OFF ratio (>103), stable data retention capability (105 s) at 85 °C and high WRITE endurance (∼107 cycles) with a pulse width of 200 ns. The neuromorphic applications were successfully emulated through neural network simulations using the experimentally calibrated data of the Si-doped HfO x resistive cross-point devices. Simulation results revealed a low nonlinearity of 0.03 with 98.08% pattern recognition accuracy. The estimated results revealed the potential of the device as a low-power selector and high-density NVM storage in large-scale crossbar array in future neuromorphic computing applications.

Original languageEnglish
Article number285102
JournalJournal of Physics D: Applied Physics
Volume56
Issue number28
DOIs
Publication statusPublished - 2023 Jul 13

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Acoustics and Ultrasonics
  • Surfaces, Coatings and Films

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