Are Transport Models Able To Predict Charge Carrier Mobilities in Organic Semiconductors?
Abstract
Organic photovoltaic devices have been steadily becoming more efficient through a combination of reduction in voltage losses, minimization of recombination pathways, and an increase in dimensionality of charge carrier pathways. However, a transport description that predicts the carrier mobility based on the mechanisms behind charge generation and transport in organic semiconducting material blends has been challenging. The complexity is mainly due to the absence of long-range order and the weak band coupling between molecules. In this Feature Article, we discuss charge transport models through a tight-binding lattice model approach. From the introduction of lattice disorder, we make a correlated liquid metal analogy and describe the effects of disorder on transport with quantum mechanical diffusion, Anderson localization, and percolation. We show that it is possible to understand the high- and low-temperature mobility data, the factors which limit the mobility, and the nature of the effective mass of charge carriers.
- Authors:
-
- Department of Chemistry, Northwestern University, Evanston, Illinois 60208, United States
- Publication Date:
- Research Org.:
- Energy Frontier Research Centers (EFRC) (United States). Center for Light Energy Activated Redox Processes (LEAP); Northwestern Univ., Evanston, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1579385
- Alternate Identifier(s):
- OSTI ID: 1578271
- Grant/Contract Number:
- SC0001059
- Resource Type:
- Published Article
- Journal Name:
- Journal of Physical Chemistry. C
- Additional Journal Information:
- Journal Name: Journal of Physical Chemistry. C Journal Volume: 123 Journal Issue: 49; Journal ID: ISSN 1932-7447
- Publisher:
- American Chemical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Citation Formats
Movaghar, Bijan, Jones, Leighton O., Ratner, Mark A., Schatz, George C., and Kohlstedt, Kevin L. Are Transport Models Able To Predict Charge Carrier Mobilities in Organic Semiconductors?. United States: N. p., 2019.
Web. doi:10.1021/acs.jpcc.9b06250.
Movaghar, Bijan, Jones, Leighton O., Ratner, Mark A., Schatz, George C., & Kohlstedt, Kevin L. Are Transport Models Able To Predict Charge Carrier Mobilities in Organic Semiconductors?. United States. https://doi.org/10.1021/acs.jpcc.9b06250
Movaghar, Bijan, Jones, Leighton O., Ratner, Mark A., Schatz, George C., and Kohlstedt, Kevin L. Fri .
"Are Transport Models Able To Predict Charge Carrier Mobilities in Organic Semiconductors?". United States. https://doi.org/10.1021/acs.jpcc.9b06250.
@article{osti_1579385,
title = {Are Transport Models Able To Predict Charge Carrier Mobilities in Organic Semiconductors?},
author = {Movaghar, Bijan and Jones, Leighton O. and Ratner, Mark A. and Schatz, George C. and Kohlstedt, Kevin L.},
abstractNote = {Organic photovoltaic devices have been steadily becoming more efficient through a combination of reduction in voltage losses, minimization of recombination pathways, and an increase in dimensionality of charge carrier pathways. However, a transport description that predicts the carrier mobility based on the mechanisms behind charge generation and transport in organic semiconducting material blends has been challenging. The complexity is mainly due to the absence of long-range order and the weak band coupling between molecules. In this Feature Article, we discuss charge transport models through a tight-binding lattice model approach. From the introduction of lattice disorder, we make a correlated liquid metal analogy and describe the effects of disorder on transport with quantum mechanical diffusion, Anderson localization, and percolation. We show that it is possible to understand the high- and low-temperature mobility data, the factors which limit the mobility, and the nature of the effective mass of charge carriers.},
doi = {10.1021/acs.jpcc.9b06250},
journal = {Journal of Physical Chemistry. C},
number = 49,
volume = 123,
place = {United States},
year = {Fri Oct 18 00:00:00 EDT 2019},
month = {Fri Oct 18 00:00:00 EDT 2019}
}
https://doi.org/10.1021/acs.jpcc.9b06250
Web of Science
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