journal article·2014-03-25

Visualizing and Quantifying Charge Distributions Correlated to Threshold Voltage Shifts in Lateral Organic Transistors

Thomas J. Dawidczyk, Josué F. Martínez Hardigree, Gary L. Johns, Recep Ozgun, Olivia Alley, Andreas G. Andreou, Nina Markovic, Howard E. Katz

ACS Nano· Volume 8· Issue 3
Publisher page

Abstract

Lateral organic field-effect transistors (OFETs), consisting of a polystyrene (PS) polymer gate material and a pentacene organic semiconductor (OSC), were electrically polarized from bias stress during operation or in a separate charging step, and investigated with scanning Kelvin probe microscopy (SKPM) and current-voltage determinations. The charge storage inside the polymer was indicated, without any alteration of the OFET, as a surface voltage with SKPM, and correlated to a threshold voltage (VT) shift in the transistor operation. The SKPM method allows the gate material/OSC interface of the OFET to be visualized and the surface voltage variation between the two gate material interfaces to be mapped. The charge distribution for three samples was derived from the surface voltage maps using Poisson's equation. Charge densities calculated this way agreed with those derived from the VT shifts and the lateral gate-OSC capacitance. We also compared the behavior of two other polymers with PS: PS accepted the most static charge in its entire volume, poly(2-trifluoromethylstyrene) (F-PS) had the most stability to bias stress, and poly(methyl methacrylate) (PMMA) showed the most leakage current and least consistent response to static charging of the three polymers. This work provides a clear demonstration that surface voltage on a working OFET gate material can be related to the quantity of static charge responsible for bias stress and nonvolatility in OFETs.
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Research context

OpenAlex topics: Organic Electronics and Photovoltaics · Conducting polymers and applications · Force Microscopy Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States

Department of Physics and Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, United States

Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States

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