Learning the dynamics of particle-based systems with Lagrangian graph neural networks by Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan

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Active robotic search for victims using ensemble deep learning techniques by Jorge F García-Samartín, Christyan Cruz Ulloa, Jaime del Cerro, Antonio Barrientos

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Generating artificial displacement data of cracked specimen using physics-guided adversarial networks by David Melching, Erik Schultheis, Eric Breitbarth

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Bayesian renormalization by David S Berman, Marc S Klinger, Alexander G Stapleton

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Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems by Simone Ciarella, Jeanne Trinquier, Martin Weigt, Francesco Zamponi

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B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images by K M Abubeker, S Baskar

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Symmetric tensor networks for generative modeling and constrained combinatorial optimization by Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo-Ortiz

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A generative adversarial network to speed up optical Monte Carlo simulations by Carlotta Trigila, Anirudh Srikanth, Emilie Roncali

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On the expressivity of embedding quantum kernels by Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

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Inverting the Kohn–Sham equations with physics-informed machine learning by Vincent Martinetto, Karan Shah, Attila Cangi, Aurora Pribram-Jones

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An open-source robust machine learning platform for real-time detection and classification of 2D material flakes by Jan-Lucas Uslu, Taoufiq Ouaj, David Tebbe, Alexey Nekrasov, Jo Henri Bertram, Marc Schütte, Kenji Watanabe, Takashi Taniguchi, Bernd Beschoten, Lutz Waldecker, Christoph Stampfer

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LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows by Breno Orzari, Nadezda Chernyavskaya, Raphael Cobe, Javier Duarte, Jefferson Fialho, Dimitrios Gunopulos, Raghav Kansal, Maurizio Pierini, Thiago Tomei, Mary Touranakou

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Functional data learning using convolutional neural networks by J Galarza, T Oraby

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Graph Neural Networks and 3-dimensional topology by Song Jin Ri, Pavel Putrov

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Exploring machine learning to hardware implementations for large data rate x-ray instrumentation by Mohammad Mehdi Rahimifar, Quentin Wingering, Berthié Gouin-Ferland, Hamza Ezzaoui Rahali, Charles-Étienne Granger, Audrey C Therrien

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Neural networks for separation of cosmic gamma rays and hadronic cosmic rays in air shower observation with a large area surface detector array by Sousuke Okukawa, Kazuyuki Hara, Kinya Hibino, Yusaku Katayose, Kazumasa Kawata, Munehiro Ohnishi, Takashi Sako, Takashi K Sako, Makio Shibata, Atsushi Shiomi, Masato Takita

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Leveraging trust for joint multi-objective and multi-fidelity optimization by Faran Irshad, Stefan Karsch, Andreas Döpp

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Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage by Stefano Mensa, Emre Sahin, Francesco Tacchino, Panagiotis Kl Barkoutsos, Ivano Tavernelli

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Probe microscopy is all you need by Sergei V Kalinin, Rama Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim Ziatdinov

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Neural networks as effective surrogate models of radio-frequency quadrupole particle accelerator simulations by Joshua Villarreal, Daniel Winklehner, Daniel Koser, Janet M Conrad

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