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Proposal of the reconstruction method of composite TSC curves and a study of the electrical conduction mechanisms is organic substances

机译:复合TSC曲线重建方法的提议及电导机的研究是有机物质

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In order to make the charge transport mechanism in organic substances clear in details, the thermally stimulated current (TSC) method is very effective. From the TSC method, three parameters such as the energy depth of carrier trap site E{sub}t (eV), a pre - exponential parameter (or an escape frequency factor) v (s{sup}(-1)) and a charge carrier density n{sub}t (m{sup}(-3)) of discrete states relating to the charge transport mechanism can be estimated. However, accurate values of these parameters could not be generally estimated for various types of composite curves obtained experimentally. In such cases, some partial TSC curves have been generally observed through repeated heating and cooling processes to separate composite causes experimentally. In such cases, it was not unusual that the experimental data with no peak were obtained, and the three parameters for these data could not be estimated until now. In this paper, I have proposed the reconstruction (RC) method for the first time. The RC method enables us to estimate 3N parameters accurately through the accurate reconstruction procedures from partial curves with no peak to some single TSC curves, where N is the number of the single TSC curves concealed in data. Also I have presented some analyzed results. The proposed RC method and the auto - separation (AS) method that enables us to accurately separate composite curves obtained by one heating process into some TSC curves with single relaxation processes were applied to data obtained experimentally in naphthacene - doped anthracene single crystals as a representative of organic semiconductors. E{sub}t and v values estimated from the AS method are slightly larger than that from the RC method. This result suggests that the indirect transport mechanisms via discrete state - to - state charge transfer processes is not negligible.
机译:为了细节清楚地清楚地清除有机物质中的电荷输送机制,热刺激的电流(TSC)方法非常有效。从TSC方法,三个参数,例如载波陷阱站点E {Sub} T(EV),预指数参数(或逃生频率因子)V(S {SUP}( - 1))和a可以估计与电荷传输机制有关的离散状态的电荷载流子} n {sub} t(m {sup}( - 3))。然而,对于实验获得的各种类型的复合曲线,通常不能估计这些参数的精确值。在这种情况下,通过重复的加热和冷却过程通常观察到一些部分TSC曲线,以实验分离复合原因。在这种情况下,没有获得峰的实验数据并不罕见,并且直到现在估计这些数据的三个参数。在本文中,我首次提出了重建(RC)方法。 RC方法使我们能够通过从部分曲线的精确重建过程精确地估计3N参数,没有峰值到某些单个TSC曲线,其中N是隐藏在数据中的单个TSC曲线的数量。此外,我还提出了一些分析的结果。所提出的RC方法和自动分离(AS)方法,使我们能够将通过一个加热过程中的一个加热过程分离成具有单个弛豫过程的一些TSC曲线的复合曲线被应用于以萘丙烯型蒽单晶在实验获得的数据中作为代表性获得的数据有机半导体。从AS方法估计的e {sub} t和v值略大于来自rc方法的值。该结果表明,通过离散状态到状态电荷转移过程的间接传输机制并不可忽略不可忽略。

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