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Published on: May 10, 2021
LOMS.cz computational platform for high-throughput classical and combinatorial Judd-Ofelt analysis and rare-earth
Jan Hrabovsky1,2, Petr Varak3,4, Robin Krystufek5,6
1Faculty of Mathematics and Physics, Charles University, Ke Karlovu 5, 121 16, Prague, Czech Republic. mail@janhrabovsky.cz.
LOMS.cz is a new open-source platform standardizing Judd-Ofelt (JO) calculations for rare-earth spectroscopy. It enhances the prediction of optical properties for photonic materials through automated analysis and experimental validation.
Area of Science:
- Spectroscopy
- Materials Science
- Computational Physics
Background:
- Judd-Ofelt (JO) theory is fundamental for rare-earth [Formula: see text] transitions but lacks standardized computational methods.
- Precise and reproducible determination of JO parameters remains a significant challenge in the field.
Purpose of the Study:
- To introduce LOMS.cz, an open-source computational platform designed to standardize Judd-Ofelt calculations.
- To address the need for reliable parameter extraction and prediction of optical properties in rare-earth spectroscopy.
Main Methods:
- Automated computation of JO parameters, transition probabilities, branching ratios, and radiative lifetimes.
- Development of a dynamically expanding database of experimentally validated JO parameters.
- Implementation of a novel Combinatorial JO (C-JO) analysis algorithm for optimal band combination identification.
Main Results:
- Demonstrated rapid screening of spectroscopic parameters using the LOMS.cz framework.
- Enabled enhanced reliability in predicting optical properties of rare-earth materials.
- Established a standardized platform combining automated analysis with experimental validation.
Conclusions:
- LOMS.cz provides a standardized computational framework for Judd-Ofelt calculations.
- The platform accelerates the discovery and optimization of rare-earth-based photonic and optoelectronic materials.
- Integration of automated analysis and experimental validation enhances research reproducibility and efficiency.
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