On the methodology of the determination of charge concentration dependent mobility from organic field-effect transistor characteristics

Literature Information

Publication Date 2017-12-12
DOI 10.1039/C7CP06423C
Impact Factor 3.676
Authors

Miroslav Menšík, Petr Toman, Urszula Bielecka, Wojciech Bartkowiak, Jiří Pfleger, Bartosz Paruzel


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Abstract

We developed a new methodology for determining charge concentration dependent mobility from organic field-effect transistor (OFET) characteristics, applicable for semiconducting polymers with structural and energy disorder. We show that basic formulae recommended by the “IEEE Standard for Test Methods for the Characterization of Organic Transistors and Materials” for the determination of the field-effect mobility as obtained from the slope ISD1/2vs. VSG (in the saturation regime) or from the transconductance dISD/dVSG (in the linear regime) are not suitable for materials with concentration dependent charge carrier mobility. We propose alternative expressions, which can be directly analytically derived from the drift–diffusion equation with the mobility explicitly dependent on the charge concentration. This methodology for mobility determination was used for analysis of the experimental data obtained for a poly(3-hexylthiophene)-based OFET with the bottom gate–bottom SD electrode configuration.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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