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PHINDER

Relevant background

Selected background publications relevant to PHINDER’s scientific and technological foundations.

Joachim E. Sestoft, Thomas K. Jensen, Vidar Flodgren, Abhijit Das, Rasmus D. Schlosser, David Alcer, Mariia Lamers, Thomas Kanne, Magnus T. Borgström, Jesper Nygård, Anders Mikkelsen (2026). Nanoscale photonic artificial neuron with biological signal processing. Nature Communications.

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Gianluca Kosmella, Matěj Hejda, Thomas van Vaerenbergh, Wolfger Peelaers (2026). Robustness-oriented training for automated design of photonic tensor cores. Optics Express.

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Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas, Tosin Adewumi, Lama Alkhaled, Lorenzo Arsini, Muhammad Awais, Maxim Borisyak, András Bóta, Florian Bury, Sascha Caron, James Carzon, Long Chen, Prakash C. Chhipa, Paul Christakopoulos, Jacopo De Piccoli, Andrea De Vita, Zlatan Dimitrov, Michele Doro, Luigi Favaro, Francesco Ferranti, Santiago Folgueras, Rihab Gargouri, Nicolas R. Gauger, Andrea Giammanco, Christian Glaser, Tobias Golling, João A. Gonçalves, Hui Han, Hamza Hanif, Lukas Heinrich, Yan Chai Hum, Florent Imbert, Andreas Ipp, Michael Kagan, Noor Kainat Syeda, Rukshak Kapoor, Aparup Khatua, Eduard J. Kerkhoven, Jan Kieseler, Tobias Kortus, Ashish Kumar Singh, Marius S. Köppel, Daniel Lanchares, Ann Lee, Pelayo Leguina, Christos Leonidopoulos, Giuseppe Levi, Boying Li, Chang Liu, Marcus Liwicki, Karl Lowenmark, Enrico Lupi, Carlo Mancini-Terracciano, Dominik Maršík, Leonidas Matsakas, Hamam Mokayed, Federico Nardi, Amirhossein Nayebiastaneh, Xuan T. Nguyen, Aitor Orio, Jingjing Pan, Jigar Patel, Carmelo Pellegrino, María Pereira Martínez, Karolos Potamianos, Shah Rukh Qasim, Martin Ravn, Luis Recabarren Vergara, Humberto Reyes-González, Hipolito A. Riveros Guevara, Ippocratis D. Saltas, Rajkumar Saini, Fredrik Sandin, Alexander Schilling, Kylian Schmidt, Nicola Serra, Saqib Shahzad, Foteini Simistira Liwicki, Giles C. Strong, Kristian Tchiorniy, Mia Tosi, Andrey Ustyuzhanin, Xabier Cid Vidal, Kinga A. Wozniak, Mengqing Wu, Zahraa Zaher (2026). On the Codesign of Scientific Experiments and Industrial Systems.

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Xuan Tung Nguyen, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Pietro Vischia, Federico Nardi, Muhammad Awais, Hamza Hanif, Shahzaib Abbas, Rukshak Kapoor (2026). Differentiable Surrogate for Detector Simulation and Design with Diffusion Models.

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Max Aehle, Lorenzo Arsini, R. Belén Barreiro, Anastasios Belias, Alexey Boldyrev, Florian Bury, Susana Cebrian, Alexander Demin, Jennet Dickinson, Julien Donini, Tommaso Dorigo, Michele Doro, Nicolas R. Gauger, Andrea Giammanco, Lindsey Gray, Borja S. González, Verena Kain, Jan Kieseler, Lisa Kusch, Marcus Liwicki, Gernot Maier, Federico Nardi, Fedor Ratnikov, Ryan Roussel, Roberto Ruiz De Austri, Fredrik Sandin, Michael Schenk, Bruno Scarpa, Pedro Silva, Giles C. Strong, Pietro Vischia (2025). Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming. Reviews in Physics.

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Vidar Flodgren, Abhijit Das, Joachim E. Sestoft, Nathanael Löfström, David Alcer, Hossein Jeddi, Magnus T. Borgström, Håkan Pettersson, Jesper Nygård, Anders Mikkelsen (2025). Flexible fabrication of aligned multi-nanowire circuits for on-chip prototyping. Microelectronic Engineering.

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Kristians Draguns, Vidar Flodgren, David Winge, Alfredo Serafini, Aigars Atvars, Janis Alnis, Anders Mikkelsen (2025). Neural network connectivity by optical broadcasting between III‐V nanowires. Nanophotonics.

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Vidar Flodgren, Abhijit Das, Joachim E. Sestoft, David Alcer, Thomas K. Jensen, Hossein Jeddi, Håkan Pettersson, Jesper Nygård, Magnus T. Borgström, Heiner Linke, Anders Mikkelsen (2025). Direct on-Chip Optical Communication between Nano Optoelectronic Devices. ACS Photonics.

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Pietro Vischia (2025). AI-assisted design of experiments at the frontiers of computation: methods and new perspectives. Proceedings of 42nd International Conference on High Energy Physics — PoS(ICHEP2024).

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Emanuele Coradin, Fabio Cufino, Muhammad Awais, Tommaso Dorigo, Enrico Lupi, Eleonora Porcu, Jinu Raj, Fredrik Sandin, Mia Tosi (2025). Unsupervised Particle Tracking with Neuromorphic Computing. Particles.

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Enrico Lupi, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Abhijit Das, Andrea De Vita, Tommaso Dorigo, Nicolas Ralph Gauger, Ralf Keidel, Jan Kieseler, Anders Mikkelsen, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore (2025). Neuromorphic Readout for Hadron Calorimeters. Particles.

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Andrea De Vita, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Ralf Keidel, Jan Kieseler, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore (2025). Hadron Identification Prospects with Granular Calorimeters. Particles.

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Kylian Schmidt, Krishna Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, Pietro Vischia (2025). End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters. Particles.

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Giles C Strong, Maxime Lagrange, Aitor Orio, Anna Bordignon, Florian Bury, Tommaso Dorigo, Andrea Giammanco, Mariam Heikal, Jan Kieseler, Max Lamparth, Pablo Martínez Ruíz Del Árbol, Federico Nardi, Pietro Vischia, Haitham Zaraket (2024). TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography. Machine Learning: Science and Technology.

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Xian Xiao, Wolfger Peelaers, Yequan Zhao, Yuan Yuan, Thomas van Vaerenbergh, Geza Kurczveil, Marco Fiorentino, Zheng Zhang, Raymond G. Beausoleil (2024). Applications of Tensor Decomposition in Optical Computing. CLEO 2024.

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David Winge, Magnus Borgström, Erik Lind, Anders Mikkelsen (2023). Artificial nanophotonic neuron with internal memory for biologically inspired and reservoir network computing. Neuromorphic Computing and Engineering.

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Tommaso Dorigo, Andrea Giammanco, Pietro Vischia, Max Aehle, Mateusz Bawaj, Alexey Boldyrev, Pablo De Castro Manzano, Denis Derkach, Julien Donini, Auralee Edelen, Federica Fanzago, Nicolas R. Gauger, Christian Glaser, Atılım G. Baydin, Lukas Heinrich, Ralf Keidel, Jan Kieseler, Claudius Krause, Maxime Lagrange, Max Lamparth, Lukas Layer, Gernot Maier, Federico Nardi, Helge E.S. Pettersen, Alberto Ramos, Fedor Ratnikov, Dieter Röhrich, Roberto Ruiz De Austri, Pablo Martínez Ruiz Del Árbol, Oleg Savchenko, Nathan Simpson, Giles C. Strong, Angela Taliercio, Mia Tosi, Andrey Ustyuzhanin, Haitham Zaraket (2023). Toward the end-to-end optimization of particle physics instruments with differentiable programming. Reviews in Physics.

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Bin Shi, Nicola Calabretta, Ripalta Stabile (2022). InP photonic integrated multi-layer neural networks: Architecture and performance analysis. APL Photonics.

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Fredrik Sandin, Mattias Nilsson (2020). Synaptic Delays for Insect-Inspired Temporal Feature Detection in Dynamic Neuromorphic Processors. Frontiers in Neuroscience.

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Bin Shi, Nicola Calabretta, Ripalta Stabile (2020). Deep Neural Network Through an InP SOA-Based Photonic Integrated Cross-Connect. IEEE Journal of Selected Topics in Quantum Electronics.

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