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Related Experiment Video

Updated: Jul 22, 2025

Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding

Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding

Published on: September 23, 2018

Elastocaloric Effect in Graphene Kirigami.

Luiz A Ribeiro Junior^1,2, Marcelo L Pereira Junior³, Alexandre F Fonseca⁴

¹Institute of Physics, University of Brasília, 70910-900 Brasília, Brazil.

|July 21, 2023

Summary

This summary is machine-generated.

Graphene kirigami (GK) exhibits significant elastocaloric effects, showing a large temperature change for cooling and heating. This research explores GK

Keywords:

Coefficient of Performance Elastocaloric Effect Graphene Kirigami Molecular Dynamics

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Published on: July 24, 2015

Area of Science:

Materials Science
Nanotechnology
Thermodynamics

Background:

Kirigami, the art of paper cutting, inspires kirigami-based materials (KMs) with unique elastocaloric effects (ECE).
Nanoscale graphene kirigami (GK) has been experimentally realized, presenting an opportunity to study ECE in the thinnest possible KM.

Purpose of the Study:

To investigate the elastocaloric effect in graphene kirigami (GK).
To analyze the temperature change and coefficient of performance (COP) in GK using molecular dynamics simulations.

Main Methods:

Molecular dynamics simulations were employed to study GK.
Analysis focused on temperature change and coefficient of performance (COP) under applied strain.

Main Results:

Graphene kirigami demonstrated a substantial temperature change: 9.32 K for heating and -3.50 K for cooling.
This temperature change is significantly higher (23 times) than that observed in macroscopic kirigami-based materials.
Reasonable coefficient of performance (COP) values of approximately 1.57 (heating) and 0.62 (cooling) were achieved.

Conclusions:

Graphene kirigami exhibits a significant elastocaloric effect, making it a promising material for thermal management applications.
The one-atom-thick nature of graphene prevents complex temperature distributions seen in larger KMs, simplifying analysis and potentially enhancing performance.