Multistate resistance in TaN/(Hf,Zr)O2/Ta ferroelectric tunnel junctions

M M. David Henry (MESA Fabrication Facility, Sandia National Laboratories 1 , Albuquerque, New Mexico 87185,) D David Stoltzfus (MESA Fabrication Facility, Sandia National Laboratories 1 , Albuquerque, New Mexico 87185,) M Megan K. Lenox (Department of Materials Science and Engineering, University of Virginia 1 , Charlottesville, Virginia 22904,) S Samantha T. Jaszewski (Department of Materials Science and Engineering, University of Virginia 1 , Charlottesville, Virginia 22904,) T Travis Young (MESA Fabrication Facility, Sandia National Laboratories 1 , Albuquerque, New Mexico 87185,) J Jon F. Ihlefeld (Department of Materials Science and Engineering, University of Virginia 2 , Charlottesville, Virginia 22904,)

Abstract

Ferroelectric tunnel junctions (FTJs) utilizing hafnium zirconium oxide (HZO) have emerged as promising non-volatile memory elements for microelectronics, compatible with back end of line (BEOL) complementary–metal–oxide semiconductor fabrication. This study investigates asymmetric electrode TaN/HZO/Ta devices with a 6 nm thick HZO layer as FTJs for multistate resistive memory applications. The individual FTJs exhibit a resistance ratio exceeding 10× when utilized as a binary state device, with pulsing between −1.7 and +1.4 V to set the high resistance state (HRS) and low resistance state (LRS), respectively. Following with reduced write voltage pulses allows the ferroelectric device to operate with a selection of over 32 distinct resistance states (25 bits) between the LRS and HRS. This work then explores the stability of the resistance states during write/read pulse cycling, along with the stability of the state after multiple read pulses. Accessing the multibit state shows stability within 50 reads with the binary state remaining stable for more than 4000 reads pulses. With their multistate tunability and versatility, FTJs hold promise as BEOL memory elements for compute-in-memory (CiM) arrays, binary digital memory, or weighted vector matrix multiplication applications with low power consumption during computations.

Article Details

Volume / Issue Vol. 137, Issue 14
Published April 14, 2025
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (6)

M

M. David Henry

MESA Fabrication Facility, Sandia National Laboratories 1 , Albuquerque, New Mexico 87185,

D

David Stoltzfus

MESA Fabrication Facility, Sandia National Laboratories 1 , Albuquerque, New Mexico 87185,

M

Megan K. Lenox

Department of Materials Science and Engineering, University of Virginia 1 , Charlottesville, Virginia 22904,

S

Samantha T. Jaszewski

Department of Materials Science and Engineering, University of Virginia 1 , Charlottesville, Virginia 22904,

T

Travis Young

MESA Fabrication Facility, Sandia National Laboratories 1 , Albuquerque, New Mexico 87185,

J

Jon F. Ihlefeld

Department of Materials Science and Engineering, University of Virginia 2 , Charlottesville, Virginia 22904,