Miriam Marchena, Frederic Wagner
The integration of graphene into electronic devices requires effective transfer techniques to ensure high-quality layering on various substrates. This study evaluates a dry transfer method for graphene onto dielectrics and flexible substrates utilizing polyimide as a transparent and stable intermediate layer. The objective was to optimize the transfer process while maintaining the integrity and functionality of the graphene. Various methodologies were employed including hot pressing and laminator techniques to transfer graphene onto different substrates. Characterization techniques such as contact angle measurements and transmittance spectra were utilized to analyze the results. The findings indicated that the polyimide layer significantly enhanced the transfer efficiency and stability of graphene, regardless of the substrate used. This method demonstrated superior adhesion properties and transparency, facilitating the potential for broader applications in flexible electronics. The work lays the groundwork for further refinement of graphene transfer techniques, providing a clearer pathway to its practical implementation in advanced materials engineering.
@article{8a6cc183-a236-47c2-bc36-c7abb832f553,
title={Dry transfer of graphene to dielectrics and flexible substrates using polyimide as a transparent and stable intermediate layer},
author={Miriam Marchena and Frederic Wagner},
year={2018},
language={en}
}TY - JOUR TI - Dry transfer of graphene to dielectrics and flexible substrates using polyimide as a transparent and stable intermediate layer AU - Miriam Marchena AU - Frederic Wagner PY - 2018 LA - en ER -
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati