Paper
5 October 1999 Estimation of van der Waals component of the density of states using the Gaussian disorder model and the correlated disorder model
Akiko Hirao, Hideyuki Nishizawa, Takayuki Tsukamoto, Kazuki Matsumoto
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Abstract
The proportionality of the logarithm of the mobility to the square root of the electric field is most likely caused by the broadening of the density of states according to both the Gaussian disorder model and the 3D correlated disorder model (CDM). Using these models, the relation between the slope of the mobility against the electric field and the dipolar component of the width of the density of states ((sigma) d) is analyzed. The (sigma) d for the donor and the host polymer are calculated using the dipolar disorder model in which a random distribution of permanent dipoles generates fluctuation in electric potential. A successful interpretation of the relation between (beta) and (sigma) d has been achieved using the formula based on the CDM. Assuming that all components of the density of states are described using Gaussian statistics, the van der Waals component is evaluated to be negligibly small from analyses of temperature dependence of the relation between (beta) and (sigma) d. The experimental results also shows that the value of the DOS width that is derived from the analysis of the temperature dependence of the zero-field mobility is different for the value of the DOS width that is derived from the analysis of the electric field dependence.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Akiko Hirao, Hideyuki Nishizawa, Takayuki Tsukamoto, and Kazuki Matsumoto "Estimation of van der Waals component of the density of states using the Gaussian disorder model and the correlated disorder model", Proc. SPIE 3799, Organic Photorefractives, Photoreceptors, Waveguides, and Fibers, (5 October 1999); https://doi.org/10.1117/12.363889
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KEYWORDS
Code division multiplexing

Polymers

3D modeling

Molecules

Gadolinium

Statistical analysis

Dielectrics

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