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math.AP2025
Bayesian Calibration and Model Assessment of Cell Migration Dynamics with Surrogate Model Integration
Christina Schenk, Jacobo Ayensa Jiménez, Ignacio Romero
Computational models provide crucial insights into complex biological processes such as cancer evolution, but their mechanistic nature often makes them nonlinear and parameter-rich…
cs.LG2025
Enhancing material behavior discovery using embedding-oriented Physically-Guided Neural Networks with Internal Variables
Rubén Muñoz-Sierra, Manuel Doblaré, Jacobo Ayensa-Jiménez
Physically Guided Neural Networks with Internal Variables are SciML tools that use only observable data for training and and have the capacity to unravel internal state relations.…