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.

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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

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article

Nanofluidic Memristive Transition and Synaptic Emulation in Atomically Thin Pores

Haiou Zeng, Guodong Xue, Yuancheng Liu, Kaihui Liu et al.
9 citations
Nano Letters
Advanced Memory and Neural Computing
6.57
article

Nanofluidic Memristive Transition and Synaptic Emulation in Atomically Thin Pores

Haiou Zeng, Guodong Xue, Yuancheng Liu, Kaihui Liu, Luda Wang, Ningran Wu, Junhe Tong, Peng Wang, Ruiyang Song, Shengping Zhang, Wei Wang, Pan Zhang, Hongfei Ye, Bohai Li
article en
9 citations

Abstract

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.

Nano LettersVol. 25(14)
Peking University (CN), Center for Interdisciplinary Studies (IN), Beijing Advanced Sciences and Innovation Center (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 3%
Advanced Memory and Neural Computing
6.57
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