Nanofluidic Memristive Transition and Synaptic Emulation in Atomically Thin Pores
Ionic transport across nanochannels is the basis of communications in living organisms, enlightening neuromorphic nanofluidic iontronics. Comparing to the angstrom-scale long biological ionic pathways, it remains a great challenge to achieve nanofluidic memristors at such thinnest limit due to the ambiguous electrical model and interaction process. Here, we report atomically thin memristive nanopores in two-dimensional materials by designing optimized ionic conductance to decouple the memristive, ohmic, and capacitive effects. By conducting different charged iontronics, we realize the reconfigurable memristive transition between nonvolatile-bipolar and volatile-unipolar characteristics, which arises from distinct transport processes governed by energy barriers. Notably, we emulate synaptic functions with ultralow energy consumption of ∼0.546 pJ per spike and reproduce biological learning behaviors. The memristive nanopores are similar to the biosystems in angstrom structure, rich iontronic responses, and millisecond-level operating pulse width, matching the biological potential width. This work provides a new paradigm for boosting brain-inspired nanofluidic devices.
Authors
- Haiou Zeng
- Guodong Xue (ORCID: https://orcid.org/0009-0006-4366-2401)
- Yuancheng Liu (ORCID: https://orcid.org/0009-0007-9669-2767)
- Kaihui Liu (ORCID: https://orcid.org/0000-0002-8781-2495)
- Luda Wang (ORCID: https://orcid.org/0000-0001-6222-7807)
- Ningran Wu (ORCID: https://orcid.org/0000-0002-0735-1749)
- Junhe Tong
- Peng Wang (ORCID: https://orcid.org/0000-0003-2359-908X)
- Ruiyang Song
- Shengping Zhang (ORCID: https://orcid.org/0000-0002-4175-6870)
- Wei Wang (ORCID: https://orcid.org/0000-0002-7180-831X)
- Pan Zhang (ORCID: https://orcid.org/0000-0001-9130-5982)
- Hongfei Ye (ORCID: https://orcid.org/0000-0002-5279-9104)
- Bohai Li
Institutions
- Peking University (CN)
- Center for Interdisciplinary Studies (IN)
- Beijing Advanced Sciences and Innovation Center (CN)
Publication Details
- Journal
- Nano Letters
- Published
- 2025-03-29
- DOI
- https://doi.org/10.1021/acs.nanolett.4c06297
- Citations
- 9
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 6.57
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Basic and Applied Basic Research Foundation of Guangdong Province