Developing Novel Lattice Mapping for Accurate and Efficient Charge Transport Modeling from Atomistic Morphology

This study focuses on numerical methods to compute charge carrier mobility in disordered materials, such as organic light-emitting diodes (OLEDs), based solely on molecular structures. The approach involves developing an ab initio method for calculating charge carrier mobility in organic materials using kinetic Monte Carlo (KMC) simulations. These simulations utilize Marcus rates derived from precise calculations of transfer integrals and site energies specific to the material's morphology. Going beyond the current approach to tackle a multicharge model system presents computational challenges, particularly in calculating site energies. To address this issue, a novel lattice mapping method was developed to efficiently determine transfer integrals and site energies from realistic morphologies while keeping computational costs manageable. Validation of the method was conducted by comparing mobility values computed using the KMC method with experimental data, showing a good agreement. Further insights into charge transport dynamics were gained through the analysis of charge carrier behavior using residence time calculations. Additionally, the model's applicability to multicharge systems was demonstrated by simulating exciton formation. In conclusion, the model has the potential to effectively and accurately simulate charge carrier trajectories in multicharge, multilayer models with minimal loss of information from realistic morphology, making it a valuable tool for designing and optimizing organic electronic devices.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-02-07
DOI
https://doi.org/10.1021/acs.jctc.4c01490
Citations
1
Primary Topic
Organic Electronics and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

Developing Novel Lattice Mapping for Accurate and Efficient Charge Transport Modeling from Atomistic Morphology

Jaeyoung Gil, YounJoon Jung, Yoonki Kim, Geol Moon et al.
1 citations
Journal of Chemical Theory and Computation
Organic Electronics and Photovoltaics
0.73
article

Developing Novel Lattice Mapping for Accurate and Efficient Charge Transport Modeling from Atomistic Morphology

Jaeyoung Gil, YounJoon Jung, Yoonki Kim, Geol Moon, Heechol Choi, Jung-Woo Son, Jay-Hak Lee
article en
1 citations

Abstract

This study focuses on numerical methods to compute charge carrier mobility in disordered materials, such as organic light-emitting diodes (OLEDs), based solely on molecular structures. The approach involves developing an ab initio method for calculating charge carrier mobility in organic materials using kinetic Monte Carlo (KMC) simulations. These simulations utilize Marcus rates derived from precise calculations of transfer integrals and site energies specific to the material's morphology. Going beyond the current approach to tackle a multicharge model system presents computational challenges, particularly in calculating site energies. To address this issue, a novel lattice mapping method was developed to efficiently determine transfer integrals and site energies from realistic morphologies while keeping computational costs manageable. Validation of the method was conducted by comparing mobility values computed using the KMC method with experimental data, showing a good agreement. Further insights into charge transport dynamics were gained through the analysis of charge carrier behavior using residence time calculations. Additionally, the model's applicability to multicharge systems was demonstrated by simulating exciton formation. In conclusion, the model has the potential to effectively and accurately simulate charge carrier trajectories in multicharge, multilayer models with minimal loss of information from realistic morphology, making it a valuable tool for designing and optimizing organic electronic devices.

Journal of Chemical Theory and ComputationVol. 21(4)
Seoul National University (KR)
Ministry of Trade, Industry and Energy, National Research Foundation of Korea
Openalex Percentile: Top 32%
Organic Electronics and Photovoltaics
0.73
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