RECENT NEWS OF MATERIALSLAB
EUROMECH colloquium
We are organizing a EUROMECH colloquium on Data-Driven Mechanics and Physics of Materials which will be held on May 21-23, 2025 in Gothenburg. More details on the conference website.
Invited talk at Materials for Tomorrow Conference, Chalmers
Mohsen Mirkhalaf will give a talk on the group recent developments on deep-learning-enhanced micromechanical modelling of composites on October 31, 2024. More details can be found here.
New group member
Zhe Han joined the group as a PhD student. He will work on Classical and data-driven modelling of moisture diffusion in bio-composite coatings.
Invited talk at the University of Borås
Mohsen Mirkhalaf will give a talk on multi-scale data-driven modelling of composite materials on May 8, 2024. More details can be found here.
New group member
Chao Wu joined the group as a master thesis student. He will work on Bayesian deep-learning for high-fidelity modelling of short fiber reinforced composites..
Workshop at MIRAI 2 conference
We are organizing a workshop on machine learning and materials science at the MIRAI 2 conference in Umeå. More information can be found here.
Invited talk at a CHAIR seminar
Mohsen Mirkhalaf will give a talk on Micromechanics-based deep learning for composites at a CHAIR (Chalmers AI Research Center) on October 19, 2023. More details can be found here.
Minisymposium at ECCOMAS 2024
We are organizing a minisymposium at ECCOMAS 2024 conference in Lisbon, Portugal. The minisymposium is entitled as: Advances in machine learning for composites. More information can be found here.
Open PhD position
MSCA-DN project (DurAMat), “Deep-learning-enhanced multiscale modelling of moisture diffusion in bio-composites as coating for WAAM metal”. Application: https://duramat-project.eu/duramat/
New group member
Petter Uvdal joined the group as a PhD student. He will work on multi-scale deep-learning for modelling and design of short fiber composites.
PhD half-time seminar
Ehsan Ghane, “Multi-scale deep-learning for elastic and elasto-plastic behavior of woven composites”, June 16, 2023 (PJ Salen, Physics department) at 10:00.
PREVIOUS NEWS OF MATERIALSLAB
Master thesis defense
Hon Lam Cheung, “Micromechanics-based artificial neural networks and transfer learning for modeling short fiber reinforced composites in automotive applications”, June 7, 2023 (von Bahr, Soliden, Physics department) at 14:00.
European grant application approved
April 2023: MSCA-DN application got approved. 11 PhD student positions will be defined within a consortium of European institutes and industries. 1 PhD student will join this group.
Invited talk at the University of Warwick
Mohsen Mirkhalaf will give a talk on Deep-learning-enhanced multi-scale modelling of composites at a WCPM (Warwick Center for Predictive Modelling) on May 15, 2023. More details can be found here.
New group member
Hon Lam Cheung joined the group as a master thesis student. He will work on micromechanics-based artificial neural networks and transfer learning for modeling short fiber reinforced composites in automotive applications.
Special issue in the journal “Polymers”
Topic: Mechanics of 3D-Printed Polymers and Polymer Composites.
Guest editors: Mohsen Mirkhalaf and Mohammad Heidari-Rarani.
Deadline for manuscript submissions: August 10, 2022.
Master thesis presentation
Mehrdad Saaedi, “Predicting cancer tumor position in a liver using finite element analysis and artificial neural networks”, July 16, 2021 (online) at 10:00.
Master thesis defense
Johan Friemann, “Predicting the elasto-plastic response of short fiber composites using deep neural networks trained on micro-mechanical simulations”, February 11, 2021 (online) at 10:00.
New group member
Mehrdad Saaedi joined the group as a master thesis student. He will work on predicting cancer tumor position in a liver using finite element analysis and artificial neural networks.
New group member
Johan Friemann joined the group as a master thesis student. He will work on predicting path dependent elasto-plastic behaviour of short fiber composites using micromechanics-based deep learning.
Master thesis defense
Noah Mentges, “Micro-mechanical modelling of the effects of fibre length distributions on short fibre reinforced composites using orientation averaging”, December 16, 2020 (online) at 14:00.
New group member
Noah Mentges joined the group as a master exchange student. He will work on micromechanics-based artificial neural network model for elastic properties of short fiber reinforced composites.
New group member
Ehsan Ghane joined the group as a PhD student. He will work on deep learning enhanced multi-scale modelling of woven composites.