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Updated: May 6, 2026

A Method for Growing Bio-memristors from Slime Mold
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Tuning TiO2 Memristors by Defect Engineering: From Short-Term Memory to Recoverable Long-Term Resistance States.

Rajdeep Kaur1, Tuan Thien Tran1, Rebecka Lindblad2

  • 1Division of Materials Physics, Department of Physics and Astronomy, Uppsala University, 751 20 Uppsala, Sweden.

ACS Applied Materials & Interfaces
|May 5, 2026
PubMed
Summary
This summary is machine-generated.

Ion implantation modifies TiO2 memristors, enabling electroforming-free operation and tunable memory states. This technique offers a versatile method for enhancing memristor performance and reliability in advanced electronics.

Keywords:
TiO2conductive filamentelectroforming-free resistive switchingion implantationoxygen vacancy

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Area of Science:

  • Materials Science
  • Solid-State Electronics
  • Nanotechnology

Background:

  • Resistive switching (RS) memristors are crucial for neuromorphic computing and advanced data storage.
  • As-prepared Pd/TiO2/Pd memristors show bipolar switching with nonvolatile memory after electroforming.

Purpose of the Study:

  • To investigate the impact of ion implantation on TiO2 memristor switching properties.
  • To tune memristor characteristics, including electroforming requirements and memory states, via defect engineering.

Main Methods:

  • Sputter deposition of Pd/TiO2/Pd memristor structures.
  • Ion implantation of TiO2 layer with 8 keV 16O and 20Ne ions.
  • X-ray photoelectron spectroscopy (XPS) to verify oxygen vacancy concentration changes.

Main Results:

  • Ion implantation enabled electroforming-free RS with short-term (volatile) memory.
  • Achieved weighted resistance states with long-term memory, tunable via compliance current.
  • Verified defect modification in TiO2 using XPS.
  • Observed a decrease in failure rate for ion-implanted samples.

Conclusions:

  • Ion implantation is a versatile tool for tuning memristor switching characteristics.
  • Defect engineering via ion implantation can lead to electroforming-free operation and improved reliability.
  • Tailored memristor properties are achievable for specific applications in neuromorphic computing and data storage.