Modulation of Memristive Characteristics by Dynamic Nanoprecipitation Inside Conical Nanopores

Nanofluidic memristors have demonstrated great potential for neuromorphic system applications with the advantages of low energy consumption and excellent biocompatibility. Here, an effective way is developed to regulate the memristive behavior of conical nanopores by leveraging the reversible formation and dissolution of nanoprecipitates induced by ion enrichment and depletion in nanopores under opposite voltages. Through the interplay between precipitation dynamics at the pore tip and the ion enrichment/depletion inside the nanopore, conical nanopores exhibit pronounced current hysteresis loops in the presence of CaHPO<sub>4</sub>, a slightly soluble inorganic salt. The memristive characteristics are found to be strongly dependent on the concentration of CaHPO<sub>4</sub>, besides the applied voltage amplitude and scan rate. Under the stimulation of pulse voltages, ionic current demonstrates stable learning and forgetting processes with robust switching stability and effective reset capability, which is similar to the short-term plasticity characteristics of biological synapses. The research may provide a straightforward and tunable approach for the design of nanofluidic memristors.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2025-08-14
DOI
https://doi.org/10.1002/smtd.202501205
Citations
10
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
7.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modulation of Memristive Characteristics by Dynamic Nanoprecipitation Inside Conical Nanopores

Yinghua Qiu, H. Y. Zhang, Tianyi Sui, Zhe Liu et al.
10 citations
Small Methods
Advanced Memory and Neural Computing
7.30
article

Modulation of Memristive Characteristics by Dynamic Nanoprecipitation Inside Conical Nanopores

Yinghua Qiu, H. Y. Zhang, Tianyi Sui, Zhe Liu, Di Liu
article en
10 citations

Abstract

Nanofluidic memristors have demonstrated great potential for neuromorphic system applications with the advantages of low energy consumption and excellent biocompatibility. Here, an effective way is developed to regulate the memristive behavior of conical nanopores by leveraging the reversible formation and dissolution of nanoprecipitates induced by ion enrichment and depletion in nanopores under opposite voltages. Through the interplay between precipitation dynamics at the pore tip and the ion enrichment/depletion inside the nanopore, conical nanopores exhibit pronounced current hysteresis loops in the presence of CaHPO<sub>4</sub>, a slightly soluble inorganic salt. The memristive characteristics are found to be strongly dependent on the concentration of CaHPO<sub>4</sub>, besides the applied voltage amplitude and scan rate. Under the stimulation of pulse voltages, ionic current demonstrates stable learning and forgetting processes with robust switching stability and effective reset capability, which is similar to the short-term plasticity characteristics of biological synapses. The research may provide a straightforward and tunable approach for the design of nanofluidic memristors.

Small MethodsVol. 9(9)
Shandong University (CN), Tianjin University (CN), City University of Hong Kong, Shenzhen Research Institute (CN), Ministry of Education (TH), Stomatology Hospital (CN)
Texas Space Grant Consortium, National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 3%
Advanced Memory and Neural Computing
7.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.