Numerical Optimization of the Lifetime and Quantum Yield of LiYF4:Pr³⁺ Nanocrystals

verfasst von: Simon Spelthann, Jonas Thiem, Oliver Melchert, Rajesh Komban, Michael Steinke, Christoph Gimmler, Ayhan Demircan, Axel Ruehl, Detlev Ristau
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.
Organisationseinheit(en): PhoenixD: Simulation, Fabrikation und Anwendung optischer Systeme
Institut für Quantenoptik
QUEST Leibniz Forschungsschule
QuantumFrontiers
Externe Organisation(en): Fraunhofer-Zentrum für Angewandte Nanotechnologie (CAN)
Typ: Aufsatz in Konferenzband
Publikationsdatum: 13.03.2024
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Elektronische, optische und magnetische Materialien, Atom- und Molekularphysik sowie Optik, Biomaterialien, Radiologie, Nuklearmedizin und Bildgebung
Elektronische Version(en): https://doi.org/10.1117/12.3000339 (Zugang: Geschlossen)

BibTeX

@inproceedings{c45bb038372f402891155429ac65dd1b,
title = "Numerical Optimization of the Lifetime and Quantum Yield of LiYF4:Pr3+ Nanocrystals",
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.",
keywords = "Bayesian Optimization, Core, Lanthanides, Lifetime, Monte-Carlo Simulations, Nanocrystals, Quantum Yield, Shell",
author = "Simon Spelthann and Jonas Thiem and Oliver Melchert and Rajesh Komban and Michael Steinke and Christoph Gimmler and Ayhan Demircan and Axel Ruehl and Detlev Ristau",
note = "Funding Information: S.S. and M.S. acknowledge the German Federal Ministry of Education and Research for funding the project EMDeN (WiVoPro, FKZ: 13N16298). Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2123 Quantum Frontiers - 390837967. O.M., A.D., and D. R. would like to thank the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for partly funding this work under Germany's Excellence Strategy within the Cluster of Excellence PhoenixD (EXC-2122, Project ID 390833453). R. K. and C. G. would like to thank the Free and Hanseatic City of Hamburg, Germany for the financial support. The numerical results presented here were achieved by computations carried out on the LUH cluster system funded by the Leibniz Universit{\"a}t Hannover, the Nieders{\"a}chsisches Ministerium f{\"u}r Wissenschaft und Kultur (MWK, Lower Saxony Ministry of Science and Culture), and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation).; Colloidal Nanoparticles for Biomedical Applications XIX 2024 ; Conference date: 27-01-2024 Through 29-01-2024",
year = "2024",
month = mar,
day = "13",
doi = "10.1117/12.3000339",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Marek Osinski and Kanaras, {Antonios G.}",
booktitle = "Colloidal Nanoparticles for Biomedical Applications XIX",
address = "United States",
}

Numerical Optimization of the Lifetime and Quantum Yield of LiYF4:Pr3+ Nanocrystals

Numerical Optimization of the Lifetime and Quantum Yield of LiYF4:Pr³⁺ Nanocrystals