Tunable Multi‐Level Memory States in Compositionally Graded Lead‐Free Ferroelectric Thin Films

J Jinyang Li S Suzhen Liu (State Key Laboratory of Electrical Insulation and Power Equipment MOE Key Laboratory For Nonequilibrium Synthesis and Modulation of Condensed Matter National Innovation Platform (Center) For Industry‐Education Integration of Energy Storage Technology School of Physics Xi'an Jiaotong University Xi'an China) T Tao Wang Z Zhongqi Ren C Cheng Gao (School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China) F Fenghui Gong (Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences Shenyang China) X Xiaodong Lv C Chen Su (Biomedical Pioneering Innovation Center, School of Life Sciences, State Key Laboratory of Gene Function and Modulation Research, Peking University) S Sujit Das (Department of Chemistry) H Hao Pan Y Yunlong Tang Z Zuhuang Chen

Abstract

ABSTRACT Multistate non‐volatile ferroelectric memories are promising for in‐memory and neuromorphic computing owing to their high speed and low power operation. Yet, overcoming the intrinsic bi‐stability of ferroelectric switching to reliably achieve multiple polarization states remains a major challenge. Here, we demonstrate robust multi‐level polarization states—exhibiting antiferroelectric‐like hysteresis loops—through selective domain switching in compositionally graded BiFeO 3 –BaTiO 3 epitaxial thin films. These films display well‐separated switching fields and large polarization contrast between adjacent states (Δ P > 40 µC/cm 2 ). Our systematic studies further revealed that the multistate behaviour is attributed to the pinning of ferroelectric domains by oppositely aligned defect dipoles, whose configuration is strongly correlated with the compositional gradient. By engineering this gradient, we effectively tune the internal field and reshape the ferroelectric hysteresis, enabling deterministic control over multiple stable states. This study introduces a new strategy for tailoring ferroelectric energy landscapes, paving the way for high‐density, low‐power, and adaptive ferroelectric memory and neuromorphic architectures.

Article Details

Volume / Issue Vol. 38, Issue 26
Published May 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (12)

J

Jinyang Li

S

Suzhen Liu

State Key Laboratory of Electrical Insulation and Power Equipment MOE Key Laboratory For Nonequilibrium Synthesis and Modulation of Condensed Matter National Innovation Platform (Center) For Industry‐Education Integration of Energy Storage Technology School of Physics Xi'an Jiaotong University Xi'an China

T

Tao Wang

Z

Zhongqi Ren

C

Cheng Gao

School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China

F

Fenghui Gong

Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences Shenyang China

X

Xiaodong Lv

C

Chen Su

Biomedical Pioneering Innovation Center, School of Life Sciences, State Key Laboratory of Gene Function and Modulation Research, Peking University

S

Sujit Das

Department of Chemistry

H

Hao Pan

Y

Yunlong Tang

Z

Zuhuang Chen