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Related Experiment Video

Updated: Feb 27, 2026

Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering

Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering

Published on: June 1, 2016

Solution-Processed Carbon Nanotube True Random Number Generator.

William A Gaviria Rojas, Julian J McMorrow, Michael L Geier

¹Department of Electrical and Computer Engineering, University of Minnesota , Minneapolis, Minnesota 55455, United States.

|July 4, 2017

Summary

This summary is machine-generated.

Researchers developed a novel hardware true random number generator (TRNG) using carbon nanotubes. This flexible, low-cost device generates secure encryption keys for the Internet of Things by digitizing thermal noise.

Keywords:

Internet of Things Thin-film transistor cybersecurity encryption printed electronics

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Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Fabrication of Carbon Nanotube High-Frequency Nanoelectronic Biosensor for Sensing in High Ionic Strength Solutions

Published on: July 22, 2013

Area of Science:

Materials Science
Electrical Engineering
Cybersecurity

Background:

Increasing demand for robust security in interconnected electronic devices.
Hardware true random number generators (TRNGs) offer advantages over software-based methods for generating encryption keys.
The Internet of Things requires small, low-cost, flexible TRNGs with low computational complexity.

Purpose of the Study:

To demonstrate the first TRNG utilizing static random access memory (SRAM) cells based on solution-processed semiconducting single-walled carbon nanotubes (SWCNTs).
To leverage SWCNTs for generating random bits by digitizing thermal noise, addressing the constraints of IoT security.
To showcase a low-power, complementary architecture for flexible and printable electronics security.

Main Methods:

Fabrication of SRAM cells using solution-processed semiconducting SWCNTs.
Digitization of thermal noise within the SWCNT-based SRAM cells to generate random bits.
Implementation of a complementary architecture for low-power operation.

Main Results:

Successful demonstration of a TRNG based on SWCNT SRAM cells.
Generated random bit streams that passed standardized statistical tests for randomness.
Achieved low computational overhead and minimal transistor requirements.

Conclusions:

Solution-processed semiconducting SWCNTs are promising candidates for next-generation security devices, particularly for the Internet of Things.
The developed SWCNT-based TRNG offers a viable approach for secure, low-cost, and flexible electronic applications.
This work paves the way for enhanced security in printable and flexible electronics.