Evidence map›Paper›PMID 39916532›Full record

ArticleJournal of chemical theory and computation2025

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

HyeonSik Choi, Geongi Moon, Jaeyoung Gil, Jay-Hak Lee, Yoonki Kim, Jiho Son, YounJoon Jung

Abstract read
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Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

HyeonSik ChoiDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Geongi MoonDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Jaeyoung GilDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Jay-Hak LeeDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Yoonki KimDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Jiho SonDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
YounJoon JungDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-9464-9999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39916532
PMCPMC11866738

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.