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Summer schools
Presentations
- J. Segurado, R.A. Lebensohn , V. Rey-de-Pedraza, R. Sancho and P. Lafourcade, “FFT based numerical study of elastic wave propagation in polycrystals”.18th European Mechanics of Materials Conference (EMMC18), 4-6 April 2022, Oxford, United Kingdom.
- L. Wu, L. Noels. “Recurrent Neural Networks (RNNs) with dimension reduction and break down in the context of high dimensional localization step in multi-scale analysis”. 18th European Mechanics of Materials Conference (EMMC18), 4-6 April 2022, Oxford, United Kingdom.
- L. Noels, L. Wu, V.-D. Nguyen. “Elasto-plastic multi-scale simulations accelerated by a recurrent neural network-based surrogate model”. 18th European Mechanics of Materials Conference (EMMC18), 4-6 April 2022, Oxford, United Kingdom.
- L. Wu, L. Noels. « A Recurrent Neural Network-based Surrogate Model for History-Dependent Multi-scale Simulations of Composite Materials », BRAIA Lecture Series on Technology Frontier, 8 December 2021, Northwestern Polytechnical University, China.
- L. Wu, L. Noels. « A Recurrent Neural Network-based Surrogate Model for History-Dependent Multi-scale Simulations », SimTech Seminar on Model Reduction and Data Techniques for Surrogate Modelling, 4 November 2021, University of Stuttgart, Germany. Check the teaser.
- L. Wu, L. Cobian, A. Hössinger-Kalteis, Z. Major, J. Segurado, L. Noels. « A Recurrent Neural Network-based Surrogate Model for History-Dependent Multi-scale Simulations » COMPLAS 2021, 7-9 September 2021, Barcelona, Spain.
- L. Noels, L.Wu. « A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths. » Materials for Medical Engineering Workshop, Johannes Kepler Universität Linz (JKU), 8 February 2021, Linz-Austria.
Press releases