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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Inkjet-printed h-BN memristors for hardware security.
Kaichen Zhu1,2,3, Giovanni Vescio2, Sergio González-Torres2
1Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia. mario.lanza@kaust.edu.sa.
Researchers developed a simple, low-cost method to create inkjet-printable inks from hexagonal boron nitride (h-BN). These inks enable the fabrication of memristors with unique stochastic properties, ideal for secure data encryption applications like physical unclonable functions.
Area of Science:
- Materials Science
- Nanotechnology
- Electronics Engineering
Background:
- The inkjet printing electronics market is rapidly expanding, with significant growth projected.
- Two-dimensional (2D) materials offer potential to enhance existing electronic devices and enable novel applications.
- Hexagonal boron nitride (h-BN) is an insulating 2D material with unique properties.
Purpose of the Study:
- To develop an easy and affordable method for synthesizing h-BN inks for inkjet printing.
- To fabricate memristors using these h-BN inks.
- To investigate the stochastic phenomena exhibited by the fabricated memristors for potential applications in data encryption.
Main Methods:
- Liquid-phase exfoliation to synthesize multilayer hexagonal boron nitride (h-BN) inks.
- Inkjet printing to deposit h-BN inks and fabricate memristor devices.
- Characterization of memristor devices for stochastic phenomena, including resistance variability and noise.
Main Results:
- Successfully synthesized h-BN inks via a cost-effective liquid-phase exfoliation process.
- Fabricated memristors exhibiting multiple stochastic phenomena: variable resistance, volatile unipolar and non-volatile bipolar resistive switching with high variability, and random telegraph noise (RTN).
- Attributed stochastic behavior to the inherent unpredictability of inkjet printing, such as thickness variations and random flake orientations.
Conclusions:
- The developed h-BN memristors are easy to fabricate, inexpensive, and possess desirable stochastic properties for entropy sources in electronic circuits.
- These memristors are suitable for information encryption in diverse objects and products.
- The inkjet printing versatility makes these devices particularly attractive for flexible and wearable applications in the Internet of Things (IoT).

