<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Luminescence Imaging on Giulio Barletta</title><link>https://giuliobarl.github.io/tags/luminescence-imaging/</link><description>Recent content in Luminescence Imaging on Giulio Barletta</description><generator>Hugo -- 0.128.0</generator><language>en</language><lastBuildDate>Fri, 13 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://giuliobarl.github.io/tags/luminescence-imaging/index.xml" rel="self" type="application/rss+xml"/><item><title>Quantifying Perovskite Solar Cell Degradation via Machine Learning from Spatially Resolved Multimodal Luminescence Time Series</title><link>https://giuliobarl.github.io/papers/lumpernet/</link><pubDate>Fri, 13 Mar 2026 00:00:00 +0000</pubDate><guid>https://giuliobarl.github.io/papers/lumpernet/</guid><description>This paper presents the novel LumPerNet protocol for perovskite solar cells degradation diagnostics. Preprint published in arXiv, 2025.</description></item></channel></rss>