A competitive hopping model for carrier transport in disordered organic semiconductors

Literature Information

Publication Date 2019-04-12
DOI 10.1039/C9CP01243E
Impact Factor 3.676
Authors

Chongguang Zhao, Chen Li


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Abstract

Here, we formulate a theoretical transport model for disordered organic semiconductors based on the concept of competitive hopping. We demonstrate theoretically that carriers occupying states with higher energy levels have higher probabilities and higher rates of hopping to the transport energy. This model suggests a temperature (T) dependence of mobility (μ) given by lg(μ) ∝ T−n, where the low carrier density and small energetic disorder limitation of the competitive hopping model gives the non-Arrhenius lg(μ) ∝ T−2 relation, and the high carrier density and large energetic disorder limitation gives the Arrhenius type lg(μ) ∝ T−1 relation. The carrier density dependence of carrier mobility is steeper at high carrier density than at low carrier density. These results are well explained by the relative positions of the Fermi level and the equilibrium level as the initial hopping levels. The competitive hopping model successfully explains the trap energy dependence of the carrier mobility for systems with deep traps. The mobility enhancement with increasing trap energy at deep trapping situations can be explained by the increasing contribution to the carrier transport of the hopping between the intrinsic states.

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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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