<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal | MODE Collaboration</title><link>https://mode-demo.github.io/publication_types/article-journal/</link><atom:link href="https://mode-demo.github.io/publication_types/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</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://mode-demo.github.io/media/icon_hu_ebbff252c19052d0.png</url><title>Article-Journal</title><link>https://mode-demo.github.io/publication_types/article-journal/</link></image><item><title>Design of an Imaging Air Cherenkov Telescope array layout with differential programming</title><link>https://mode-demo.github.io/publication/alispach-2026-qn/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/alispach-2026-qn/</guid><description/></item><item><title>Differentiable Surrogate for Detector Simulation and Design with Diffusion Models</title><link>https://mode-demo.github.io/publication/nguyen-2026-wsv/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/nguyen-2026-wsv/</guid><description/></item><item><title>Differentiating a HEP Analysis Pipeline within the Scikit-HEP Software Ecosystem</title><link>https://mode-demo.github.io/publication/aly-2026-i-n/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/aly-2026-i-n/</guid><description/></item><item><title>Imaging Techniques in Muon Scattering Tomography</title><link>https://mode-demo.github.io/publication/borozdin-2026-rp/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/borozdin-2026-rp/</guid><description/></item><item><title>Partial Observability and Domain Randomization in RL-Based Strategy for Optical Cavity Locking Optimization</title><link>https://mode-demo.github.io/publication/svizzeretto-2026-bx/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/svizzeretto-2026-bx/</guid><description/></item><item><title>Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming</title><link>https://mode-demo.github.io/publication/aehle-2025/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/aehle-2025/</guid><description/></item><item><title>Hadron Identification Prospects with Granular Calorimeters</title><link>https://mode-demo.github.io/publication/de-vita-2025/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/de-vita-2025/</guid><description/></item><item><title>On the utility function of experiments in fundamental science</title><link>https://mode-demo.github.io/publication/dorigo-2025/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/dorigo-2025/</guid><description/></item><item><title>A Multiple Readout Ultra-High Segmentation Detector Concept For Future Colliders</title><link>https://mode-demo.github.io/publication/bilki-2025-f-9/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/bilki-2025-f-9/</guid><description/></item><item><title>Automatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readout</title><link>https://mode-demo.github.io/publication/particles-8010026/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8010026/</guid><description/></item><item><title>Bias Reduction Using Expectation Maximization in the Optimization of an AI-Assisted Muon Tomography System</title><link>https://mode-demo.github.io/publication/dela-puente-santos-20252-q/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/dela-puente-santos-20252-q/</guid><description/></item><item><title>Bringing Automatic Differentiation to CUDA with Compiler-Based Source Transformations</title><link>https://mode-demo.github.io/publication/koutsou-2025-qv/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/koutsou-2025-qv/</guid><description/></item><item><title>Design optimization of hadronic calorimeters for future colliders</title><link>https://mode-demo.github.io/publication/de-matos-rodrigues-2025-z/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/de-matos-rodrigues-2025-z/</guid><description/></item><item><title>Development and Explainability of Models for Machine-Learning-Based Reconstruction of Signals in Particle Detectors</title><link>https://mode-demo.github.io/publication/particles-8020048/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020048/</guid><description/></item><item><title>Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facility</title><link>https://mode-demo.github.io/publication/particles-8010021/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8010021/</guid><description/></item><item><title>End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters</title><link>https://mode-demo.github.io/publication/particles-8020047/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020047/</guid><description/></item><item><title>From Light to Muons: Towards a Unified Framework for Physics-based 3D Scene Reconstruction</title><link>https://mode-demo.github.io/publication/sattler-2025-t-q/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/sattler-2025-t-q/</guid><description/></item><item><title>Gradient-descent-based reconstruction for muon tomography based on automatic differentiation in PyTorch</title><link>https://mode-demo.github.io/publication/alameddine-2025-qq/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/alameddine-2025-qq/</guid><description/></item><item><title>Hadron Identification Prospects with Granular Calorimeters</title><link>https://mode-demo.github.io/publication/particles-8020058/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020058/</guid><description/></item><item><title>Information Field Theory for Two Applications in Astroparticle Physics</title><link>https://mode-demo.github.io/publication/particles-8020039/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020039/</guid><description/></item><item><title>Machine Learning Approach to Shield Optimization at Muon Collider</title><link>https://mode-demo.github.io/publication/particles-8010025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8010025/</guid><description/></item><item><title>Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications</title><link>https://mode-demo.github.io/publication/particles-8010033/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8010033/</guid><description/></item><item><title>Neuromorphic Readout for Hadron Calorimeters</title><link>https://mode-demo.github.io/publication/particles-8020052/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020052/</guid><description/></item><item><title>Optimisation of Muon Tomography Scanners for Border Control Using TomOpt</title><link>https://mode-demo.github.io/publication/particles-8020053/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020053/</guid><description/></item><item><title>Optimization pipeline for in-ice radio neutrino detectors</title><link>https://mode-demo.github.io/publication/ravn-2025-an/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/ravn-2025-an/</guid><description/></item><item><title>Porting MADGRAPH to FPGA Using High-Level Synthesis (HLS)</title><link>https://mode-demo.github.io/publication/particles-8030063/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8030063/</guid><description/></item><item><title>Production Optimization of Exotic Hypernuclei via Heavy-Ion Beams at GSI-FAIR</title><link>https://mode-demo.github.io/publication/particles-8020054/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020054/</guid><description/></item><item><title>Scattering-Based Machine Learning Algorithms for Momentum Estimation in Muon Tomography</title><link>https://mode-demo.github.io/publication/particles-8020043/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020043/</guid><description/></item><item><title>Unsupervised Particle Tracking with Neuromorphic Computing</title><link>https://mode-demo.github.io/publication/particles-8020040/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020040/</guid><description/></item><item><title>Versal Adaptive Compute Acceleration Platform Processing for ATLAS-TileCal Signal Reconstruction</title><link>https://mode-demo.github.io/publication/particles-8020049/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/particles-8020049/</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://mode-demo.github.io/publication/strong-2024/</link><pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/strong-2024/</guid><description/></item><item><title>Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data</title><link>https://mode-demo.github.io/publication/kieseler-2020/</link><pubDate>Tue, 01 Sep 2020 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/kieseler-2020/</guid><description/></item><item><title>Geometry optimization of a muon-electron scattering detector</title><link>https://mode-demo.github.io/publication/dorigo-2020100022/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/dorigo-2020100022/</guid><description/></item><item><title>INFERNO: Inference-Aware Neural Optimisation</title><link>https://mode-demo.github.io/publication/decastro-2019170/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://mode-demo.github.io/publication/decastro-2019170/</guid><description/></item></channel></rss>