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Supramolecular Control of Ionic Retention in Electrolyte-Gated Synaptic Transistors

  • Haolei Zhou (Co-first Author)
  • , Kaushik Chivukula (Co-first Author)
  • , Qiyi Fang* (Co-first Author)
  • , Kaiyang Wang
  • , Xinyi Ren
  • , Ashutosh Garudapalli
  • , Ce Liang
  • , Jinpeng Tian
  • , Satya Butler
  • , Anke Liang
  • , Jason Xu
  • , Honghu Zhang
  • , Saien Xie
  • , Jingjie Yeo
  • , Yu Zhong*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Electrolyte-gated transistors with ion-trapping layers offer a promising platform for artificial synapses in neuromorphic computing, yet molecular mechanisms governing ionic retention remain poorly understood. Here, we present a supramolecular approach to modulate ion retention by incorporating a crown ether derivative-based polymer network as an ion-trapping layer on top of a semiconducting monolayer. We show that the balance between ion–host binding and ion–solvent interactions dictates the kinetics of ion capture and release, which in turn controls the memory characteristics of the device. By varying the solvent dielectric constant, we tune the ionic retention time from nearly permanent trapping to rapid relaxation. Intermediate solvent polarity enables programmable short- and long-term synaptic behaviors, including excitatory postsynaptic current, paired-pulse facilitation, and long-term potentiation and depression. These findings establish a direct link between supramolecular ion recognition and synaptic plasticity and provide a generalizable design strategy for ionic–electronic neuromorphic devices. © 2025 American Chemical Society
Original languageEnglish
Pages (from-to)205-212
JournalACS Materials Letters
Volume8
Issue number1
Online published3 Dec 2025
DOIs
Publication statusPublished - 5 Jan 2026
Externally publishedYes

Funding

This work was supported by Cornell University through startup funding. This work was performed in part at the Cornell NanoScale Facility, a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the National Science Foundation (Grant NNCI-2025233). The authors acknowledge the use of facilities and instrumentation supported by NSF through the Cornell University Materials Research Science and Engineering Center DMR-1719875. This research used resources at the 11-BM Complex Materials Scattering (CMS) beamline of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under Contract No. DE-SC0012704. Work in Princeton was supported by Princeton University through startup funds and a SEAS innovation grant.

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