Research data supporting "Active Shell Engineering for Efficient Cascade Triplet Energy Transfer in Lanthanide Heterostructures"

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Authors: Zhao Jiang, Alasdair Tew, Xinjuan Li, Huangtianzhi Zhu, Yunzhou Deng, Caterina Ducati, Zhongzheng Yu, Akshay Rao
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Abstract

The provided dataset contains the source data of main figures for the research project investigating cascade triplet energy transfer (TET) in lanthanide-doped nanoparticle (LnNP) heterostructures. The project focuses on the design, synthesis, and optical characterisation of NaYbF4@CaF2:Nd@9-anthracenecarboxylic acid (ACA) core/active-shell/organic molecule heterostructures, with the goal of simultaneously achieving surface passivation and efficient molecular sensitization in LnNPs. The dataset contains: size distribution of NPs with varied shell thicknesses; photoluminescence (PL) emission/excitation/decay spectra of NPs and NPs-ACA under different excitation conditions; picosecond and nanosecond transient absorption (TA) spectroscopy data, and ligand exchange optimization data including concentration-, time-, and washing-cycle-dependent absorption and PL responses. The data are provided as an Excel file containing tabulated numerical values corresponding to each main figure panel. No proprietary software is required for access; the data are readable with standard spreadsheet or scientific plotting software. Sample Nomenclature: C (Core): Bare NaYbF4 core nanoparticles without any shell coating. C, diameter: 7.2 nm. CS1–CS6 (Core-Shell 1–6): A series of NaYbF4@Ca0.8F2:Nd0.2 core-shell nanoparticles with systematically increasing shell thickness. CS1, diameter: 8.8 nm CS2, diameter: 10.0 nm CS3, diameter: 11.1 nm CS4, diameter: 12.2 nm CS5, diameter: 13.1 nm CS6, diameter: 16.4 nm

Fields of Study & Subjects

Luminescence Properties of Advanced Materials Lanthanide and Transition Metal Complexes Luminescence and Fluorescent Materials

Publication details

Journal / source
Apollo (University of Cambridge)
Publication date
24 February 2026
Language
EN
Document type
Dataset