Numerical optimization of the lifetime and quantum yield of LiYF4:Pr3+ nanocrystals

Simon Spelthann; Jonas Thiem; Oliver Melchert; Rajesh Komban; Michael Steinke; Christoph Gimmler; Ayhan Demircan; Axel Ruehl; Detlev Ristau

doi:10.1117/12.3000339

13 March 2024 Numerical optimization of the lifetime and quantum yield of LiYF₄:Pr³⁺ nanocrystals

Simon Spelthann, Jonas Thiem, Oliver Melchert, Rajesh Komban, Michael Steinke, Christoph Gimmler, Ayhan Demircan, Axel Ruehl, Detlev Ristau

Author Affiliations +

Proceedings Volume 12859, Colloidal Nanoparticles for Biomedical Applications XIX; 1285905 (2024) https://doi.org/10.1117/12.3000339
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Lanthanide nanoparticles offer potential in nanoscale photonics due to their high lifetime and quantum yield. However, surface quenching degrades these properties, requiring time-consuming experimental optimization. Here, we present a versatile Monte-Carlo approach that accurately predicts the lifetimes and quantum yields of lanthanide nanoparticles. Based on a Bayesian optimization algorithm, we optimize the geometry and doping concentration of nanocrystals resulting in simulated quantum yields of >60% and lifetimes of >30μs. This approach saves 95% time compared to experimental methods and holds promise for applications such as nanoparticle lasers or quantum memories.

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Citation Download Citation

Simon Spelthann, Jonas Thiem, Oliver Melchert, Rajesh Komban, Michael Steinke, Christoph Gimmler, Ayhan Demircan, Axel Ruehl, and Detlev Ristau "Numerical optimization of the lifetime and quantum yield of LiYF₄:Pr³⁺ nanocrystals", Proc. SPIE 12859, Colloidal Nanoparticles for Biomedical Applications XIX, 1285905 (13 March 2024); https://doi.org/10.1117/12.3000339

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