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20242026
most citedPhysically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework

1 citations · 2 across the 6 of their papers we have counts for

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physics.comp-ph2025

Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks

Ehsan Ghane, Marina A. Maia, Iuri B. C. M. Rocha +2

Multiscale homogenization of woven composites requires detailed micromechanical evaluations, leading to high computational costs. Data-driven surrogate models based on neural netwo…

physics.comp-ph2024

Integration of Active Learning and MCMC Sampling for Efficient Bayesian Calibration of Mechanical Properties

Leon Riccius, Iuri B. C. M. Rocha, Joris Bierkens +2

Recent advancements in Markov chain Monte Carlo (MCMC) sampling and surrogate modelling have significantly enhanced the feasibility of Bayesian analysis across engineering fields.…