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The biases caused by interpolated table models and their impact on X-ray spectroscopy2026 arXiv (Cornell University) preprint Physics and Astronomy Astrophysical Phenomena and Observations Open access
Matteo Lucchini, Benjamin Ricketts, Phil Uttley, Daniela Huppenkothen, Fergus Baker, G. Marcel, +1 more
0citations -
The scientific potential and technological challenges of the High-Luminosity Large Hadron Collider program2022 Reports on Progress in Physics article Physics and Astronomy Particle Detector Development and Performance Open access
O. Brüning, Heather M. Gray, Katja Klein, M. Lamont, M. Narain, R. Polifka, +1 more
19citations -
Recurrent neural networks as a physics-based self-learning solver to satisfy plane stress viscoplasticity undergoing isotropic damage2024 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks Open access
Saurabh Balkrishna Tandale, Vasileios Polydoras, Marcus Stoffel
3citations -
A Hybrid Implicit–Explicit XFEM Framework for Fully Coupled Hydro-Mechanical Dynamic Simulation of Injection-Induced Seismicity2026 EGU General Assembly Conference Abstracts conference-abstract Energy Hydraulic Fracturing and Reservoir Analysis Open access
Mohammad Sabah, Mauro Cacace, Hannes Hofmann, Guido Blöcher, Mohammadreza Jalali, Iman Rahimzadeh Kivi
0citations -
Explainable Artificial Intelligence for Mechanics: Physics-Explaining Neural Networks for Constitutive Models2022 Frontiers in Materials article Physics and Astronomy Model Reduction and Neural Networks Open access
Arnd Koeppe, Franz Bamer, Michael A. Selzer, Britta Nestler, Bernd A. Markert
41citations -
Convolutional neural networks as an alternative to Bayesian retrievals for interpreting exoplanet transmission spectra2022 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access
Francisco Ardévol Martínez, Michiel Min, I. Kamp, Paul I. Palmer
32citations