Author

Z. Ristić

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Open access Sep 2026

Luminescence Thermometry 2.0: Machine-Learning Temperature Read-Out with Luminescence of YOF: Yb3+, Er3+ Nanoparticles

Here, we evaluate a full-spectrum, data-driven readout framework, termed Luminescence Thermometry 2.0, in which normalized emission spectra are used directly as inputs to temperature regression. We benchmark this approach against conventional luminescence-intensity ratio thermometry using the same experimental dataset...

Z. Ristić, J. Periša, A. Ćirić et al. · Nanomaterials · 0 citations

Aug 2026

Yb3+ Luminescence Thermometry Revived: Full‐Spectrum Machine Learning for Sub‐Kelvin Accuracy and Precision

In this manuscript, we redefine the operational limits of Yb3+‐based near‐infrared luminescence thermometry. Using Ce3+/Yb3+ co‐doped Y3Al5O12 (YAG) nanoparticles, we established a full‐spectrum, data‐driven thermometric framework that transcends the constraints of the conventional Boltzmann‐based luminescence intensit...

J. Periša, Z. Ristić, L. Marciniak et al. · Advanced Optical Materials · 0 citations