Numerical Optimization of the Lifetime and Quantum Yield of LiYF4:Pr3+ Nanocrystals
- authored by
- 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.
- Organisation(s)
-
PhoenixD: Photonics, Optics, and Engineering - Innovation Across Disciplines
Institute of Quantum Optics
QUEST-Leibniz Research School
QuantumFrontiers
- External Organisation(s)
-
Fraunhofer Center for Applied Nanotechnology (CAN)
- Type
- Conference contribution
- Publication date
- 13.03.2024
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics, Biomaterials, Radiology Nuclear Medicine and imaging
- Electronic version(s)
-
https://doi.org/10.1117/12.3000339 (Access:
Closed)