<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Federico Nardi | PHINDER EIC Project</title><link>https://phinder-eic.github.io/author/federico-nardi/</link><atom:link href="https://phinder-eic.github.io/author/federico-nardi/index.xml" rel="self" type="application/rss+xml"/><description>Federico Nardi</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://phinder-eic.github.io/media/icon_hu_ebbff252c19052d0.png</url><title>Federico Nardi</title><link>https://phinder-eic.github.io/author/federico-nardi/</link></image><item><title>Differentiable Surrogate for Detector Simulation and Design with Diffusion Models</title><link>https://phinder-eic.github.io/publication/nguyen-2026-wsv/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/nguyen-2026-wsv/</guid><description/></item><item><title>On the Codesign of Scientific Experiments and Industrial Systems</title><link>https://phinder-eic.github.io/publication/dorigo-2026-codesignscientificexperimentsindustrial/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/dorigo-2026-codesignscientificexperimentsindustrial/</guid><description/></item><item><title>Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming</title><link>https://phinder-eic.github.io/publication/aehle-2025/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/aehle-2025/</guid><description/></item><item><title>Toward the end-to-end optimization of the SWGO array layout</title><link>https://phinder-eic.github.io/publication/dorigo-2025/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/dorigo-2025/</guid><description/></item><item><title>Hadron Identification Prospects with Granular Calorimeters</title><link>https://phinder-eic.github.io/publication/de-vita-2025/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/de-vita-2025/</guid><description/></item><item><title>End-to-End Detector Optimization with Diffusion models: A Case Study in Sampling Calorimeters</title><link>https://phinder-eic.github.io/publication/schmidt-2025-endtoenddetectoroptimizationdiffusion/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/schmidt-2025-endtoenddetectoroptimizationdiffusion/</guid><description/></item><item><title>End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters</title><link>https://phinder-eic.github.io/publication/particles-8020047/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/particles-8020047/</guid><description/></item><item><title>Hadron Identification Prospects with Granular Calorimeters</title><link>https://phinder-eic.github.io/publication/particles-8020058/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/particles-8020058/</guid><description/></item><item><title>Neuromorphic Readout for Hadron Calorimeters</title><link>https://phinder-eic.github.io/publication/particles-8020052/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/particles-8020052/</guid><description/></item><item><title>TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography</title><link>https://phinder-eic.github.io/publication/strong-2024/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/strong-2024/</guid><description/></item><item><title>Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper</title><link>https://phinder-eic.github.io/publication/dorigo-2022-endtoendoptimizationparticlephysics/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/dorigo-2022-endtoendoptimizationparticlephysics/</guid><description/></item></channel></rss>