Van der Waals Engineering of One-Transistor-One-Ferroelectric-Memristor Architecture for an Energy-Efficient Neuromorphic Array
Two-dimensional-material-based memristor arrays hold promise for data-centric applications such as artificial intelligence and big data. However, accessing individual memristor cells and effectively controlling sneak current paths remain challenging. Here, we propose a van der Waals engineering approach to create one-transistor-one-memristor (1T1M) cells by assembling the emerging two-dimensional ferroelectric CuCrP<sub>2</sub>S<sub>6</sub> with MoS<sub>2</sub> and <i>h</i>-BN. The memory cell exhibits high resistance tunability (10<sup>6</sup>), low sneak current (120 fA), and low static power (12 fW). A neuromorphic array with greatly reduced crosstalk is experimentally demonstrated. The nonvolatile resistance switching is driven by electric-field-induced ferroelectric polarization reversal. This van der Waals engineering approach offers a universal solution for creating compact and energy-efficient 2D in-memory computation systems for next-generation artificial neural networks.
Authors
- Tao Yang (ORCID: https://orcid.org/0000-0002-6948-0028)
- Kai Liu (ORCID: https://orcid.org/0000-0001-9413-6782)
- Jefferson Zhe Liu (ORCID: https://orcid.org/0000-0002-5282-7945)
- Mario Lanza (ORCID: https://orcid.org/0000-0003-4756-8632)
- Fei Xue (ORCID: https://orcid.org/0000-0001-9039-7088)
- Sebastián Pazos (ORCID: https://orcid.org/0000-0002-7354-4530)
- Cheng Gong (ORCID: https://orcid.org/0000-0001-7714-6380)
- Xixiang Zhang (ORCID: https://orcid.org/0000-0002-3478-6414)
- Yuan Yan (ORCID: https://orcid.org/0000-0002-8987-813X)
- Fernando Aguirre (ORCID: https://orcid.org/0000-0001-7793-1194)
- Yinchang Ma (ORCID: https://orcid.org/0000-0002-5201-6448)
- Chen Liu (ORCID: https://orcid.org/0000-0003-1481-6484)
- Heng Wang (ORCID: https://orcid.org/0000-0002-8279-3256)
- Maolin Chen (ORCID: https://orcid.org/0000-0001-7126-9224)
- Baoyu Wang
Institutions
- The University of Melbourne (AU)
- National University of Singapore (SG)
- Zhejiang University of Science and Technology (CN)
- Georgetown University (US)
- Edge Technologies (United States) (US)
- Collaborative Innovation Center of Quantum Matter (CN)
- Intrinsiq Materials (United Kingdom) (GB)
- University of Maryland, College Park (US)
- King Abdullah University of Science and Technology (SA)
- Zhejiang University (CN)
Publication Details
- Journal
- Nano Letters
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1021/acs.nanolett.4c06118
- Citations
- 12
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 8.77
Funders
- Georgetown University
- National Computational Infrastructure
- National University of Singapore
- University of Melbourne
- National Natural Science Foundation of China
- King Abdullah University of Science and Technology
- Zhejiang University
- National Cancer Institute
- Natural Science Foundation of Zhejiang Province