Multiscale Simulations and Property Predictions for Organic Luminescent Aggregates

ABSTRACT Precise regulation of aggregation‐state luminescence is a crucial and challenging task in the field of organic luminescence. The luminescence properties of organic molecular aggregates are intricately governed by both molecular conformations and intermolecular packing structures. The inherent conformational flexibility and the cooperative interplay of diverse intermolecular interactions in organic molecular aggregates give rise to numerous kinetically stable states besides the thermodynamically stable state, as well as multi‐level couplings associated with excited states, which make the prediction of luminescent properties extraordinarily complicated and challenging. In this review, we first introduce a general theoretical protocol that combines multiscale modeling, kinetic network model, and excited‐state decay rate theory. Then, the mechanism of luminescence and its regulation are presented for various organic molecular aggregates ranging from homogenous crystals, cocrystals, heterogenous amorphous aggregates, to kinetically controlled assemblies. Importantly, the mapping relationship is established between the formation processes of organic molecular aggregates and the corresponding dynamic luminescent properties, which provide valuable insights for a deeper understanding of aggregation‐state luminescent properties and facilitate the precise regulation of organic luminescent materials.

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Publication Details

Journal
Wiley Interdisciplinary Reviews Computational Molecular Science
Published
2025-03-01
DOI
https://doi.org/10.1002/wcms.70021
Citations
3
Primary Topic
Luminescence and Fluorescent Materials
Type
article
Field-Weighted Citation Impact
1.55

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article

Multiscale Simulations and Property Predictions for Organic Luminescent Aggregates

Xiaoyan Zheng, Qian Peng
3 citations
Wiley Interdisciplinary Reviews Computational Molecular Science
Luminescence and Fluorescent Materials
1.55
article

Multiscale Simulations and Property Predictions for Organic Luminescent Aggregates

Xiaoyan Zheng, Qian Peng
article en
3 citations

Abstract

ABSTRACT Precise regulation of aggregation‐state luminescence is a crucial and challenging task in the field of organic luminescence. The luminescence properties of organic molecular aggregates are intricately governed by both molecular conformations and intermolecular packing structures. The inherent conformational flexibility and the cooperative interplay of diverse intermolecular interactions in organic molecular aggregates give rise to numerous kinetically stable states besides the thermodynamically stable state, as well as multi‐level couplings associated with excited states, which make the prediction of luminescent properties extraordinarily complicated and challenging. In this review, we first introduce a general theoretical protocol that combines multiscale modeling, kinetic network model, and excited‐state decay rate theory. Then, the mechanism of luminescence and its regulation are presented for various organic molecular aggregates ranging from homogenous crystals, cocrystals, heterogenous amorphous aggregates, to kinetically controlled assemblies. Importantly, the mapping relationship is established between the formation processes of organic molecular aggregates and the corresponding dynamic luminescent properties, which provide valuable insights for a deeper understanding of aggregation‐state luminescent properties and facilitate the precise regulation of organic luminescent materials.

Wiley Interdisciplinary Reviews Computational Molecular ScienceVol. 15(2)
Beijing Institute of Technology (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 18%
Luminescence and Fluorescent Materials
1.55
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Multiscale Simulations and Property Predictions for Organic Luminescent Aggregates — Xiaoyan Zheng, Qian Peng · Wiley Interdisciplinary Reviews Computational Molecular Science (2025) | TGRS Research Map | TGRS