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cs.LG2026
On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime
M. A. Maia, K. A. Meyer, A. M. C. M. van Gils +2
In this paper, we unravel the effect of different decoder architectures on the interpretability of the latent space of the Physically Recurrent Neural Network. Particular emphasis…
cs.LG2024
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations
J. Storm, I. B. C. M. Rocha, F. P. van der Meer
Simulating the mechanical response of advanced materials can be done more accurately using concurrent multiscale models than with single-scale simulations. However, the computation…