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Work-Function Engineering of Graphene Electrodes by Self-Assembled Monolayers for High-Performance Organic
Jaesung Park1,2, Wi Hyoung Lee1,2, Sung Huh1,2
1†Center for Superfunctional Materials, Department of Chemistry and ‡Department of Chemical Engineering, Pohang University of Science and Technology, Pohang 790-784, Korea.
The Journal of Physical Chemistry Letters
|August 22, 2015
Summary
Researchers optimized organic field-effect transistors (OFETs) by modifying graphene electrode work functions using self-assembled monolayers (SAMs). This technique enhances graphene-based organic electronics performance and opens avenues for new devices.
Area of Science:
- Materials Science
- Organic Electronics
- Surface Chemistry
Background:
- Organic field-effect transistors (OFETs) performance is often limited by electrode properties.
- Graphene electrodes offer excellent conductivity but require work function tuning for optimal device integration.
- Surface functionalization is a key strategy for modifying electrode characteristics.
Purpose of the Study:
- To develop a method for controlling graphene electrode work functions.
- To enhance the performance of organic electronic devices by optimizing graphene electrodes.
- To explore the application of self-assembled monolayers (SAMs) in graphene-based electronics.
Main Methods:
- Functionalizing SiO2 substrates with amine (NH2)-terminated and methyl (CH3)-terminated self-assembled monolayers (SAMs).
- Investigating the impact of SAMs on the work function of graphene electrodes.
- Fabricating and characterizing graphene field-effect transistors (GFETs) and other organic electronic devices.
Main Results:
- NH2-terminated SAMs induced strong n-doping in graphene, increasing work function.
- CH3-terminated SAMs neutralized p-doping from SiO2 substrates, significantly altering work function.
- Demonstrated successful optimization of electrical properties in GFETs and organic devices.
Conclusions:
- Surface functionalization with SAMs provides an effective route to tune graphene work functions.
- This method offers a versatile approach for enhancing graphene-based organic and optoelectronic devices.
- The patternability and robustness of SAMs suggest broad applicability in future electronic and optoelectronic applications.
