Ferroelectric Perovskite/MoS<sub>2</sub> Channel Heterojunctions for Wide‐Window Nonvolatile Memory and Neuromorphic Computing
Ferroelectric materials commonly serve as gate insulators in typical field-effect transistors, where their polarization reversal enables effective modulation of the conductivity state of the channel material, thereby realizing non-volatile memory. Currently, novel 2D ferroelectrics unlock new prospects in next-generation electronics and neuromorphic computation. However, the advancement of these materials is impeded by limited selectivity and narrow memory windows. Here, new concepts of 2D ferroelectric perovskite/MoS<sub>2</sub> channel heterostructures field-effect transistors are presented, in which 2D ferroelectric perovskite features customizable band structure, few-layered ferroelectricity, and submillimeter-size monolayer wafers. Further studies reveal that these devices exhibit unique charge polarity modulation (from n- to p-type channel) and remarkable nonvolatile memory behavior, especially record-wide hysteresis windows up to 177 V, which enables efficient imitation of biological synapses and achieves high recognition accuracy for electrocardiogram patterns. This result provides a device paradigm for future nonvolatile memory and artificial synaptic applications.
Authors
- Enlong Li (ORCID: https://orcid.org/0009-0002-1563-4922)
- Junhua Luo (ORCID: https://orcid.org/0009-0005-4399-3748)
- Wenwu Li (ORCID: https://orcid.org/0000-0002-9307-1566)
- Lina Hua
- Zhihua Sun (ORCID: https://orcid.org/0000-0003-2659-3927)
- Junhao Chu
- Wei Liu (ORCID: https://orcid.org/0000-0002-6812-6107)
- Ruixue Wang (ORCID: https://orcid.org/0000-0003-3677-2689)
- Wuqian Guo
- Fapeng Sun
- Haojie Xu (ORCID: https://orcid.org/0009-0001-9644-1497)
Institutions
- Chinese Academy of Sciences (CN)
- Fudan University (CN)
- Fujian Institute of Research on the Structure of Matter (CN)
- San’an Optoelectronics (China) (CN)
- Tan Kah Kee Innovation Laboratory (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2024-11-24
- DOI
- https://doi.org/10.1002/adma.202414339
- Citations
- 23
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 4.80
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Natural Science Foundation of Fujian Province
- National Key Research and Development Program of China