Table · dataset · 2026
Self-Consistent Diagrammatic Theory of Energy Migration and Trapping on Spherical Nanoparticles
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1021/acs.jpcc.6c02025.s001
We present, for the first time, a comprehensive theoretical model that elucidates multistep energy migration, including its remigration in the donor ensemble, followed by nonradiative excitation transfer to acceptors, on a finite-radius spherical nanoparticle labeled with both donors and acceptors.
Description
Using a three-body diagrammatic method, we derive the most general expressions for donor fluorescence decay and emission anisotropy decay.
These expressions account for the intricate dynamics of energy transfer processes within the nanoparticle environment. To validate our theoretical framework, we performed extensive Monte Carlo simulations on a representative donor–acceptor system positioned on a spherical nanoparticle. These simulations thoroughly evaluate the model predictions across varying donor and acceptor configurations.
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The theoretical predictions and Monte Carlo results show excellent agreement, demonstrating the model’s accuracy in capturing the complex dynamics of energy migration and transfer. This study advances our understanding of energy transfer in nanoscale systems and highlights the power of combining theoretical modeling with Monte Carlo simulations to predict the optical properties and dynamics of nanoparticle-based donor–acceptor assemblies, and shows a clear advantage over the simplified model based on Padé approximant.
Links
Where it is published
- DOI doi.org/10.1021/acs.jpcc.6c02025.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Astronomy & Astrophysics · Astronomy & Astrophysics · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Energy · Energy · Energy · Life Sciences · Life Sciences · Life Sciences · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Social Science · Social Science · Social Science
- Inferred from text
- Mathematical physics 74%
Provenance · 3 source records, 27 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34037772 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34037772 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34037772 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
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| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
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| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
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| concepts[field].local:field:mathematics-statistics | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
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| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |