MOST RECENT NEWS OF MATERIALSLAB
PhD defense
Ehsan Ghane will defend his PhD thesis on April 23, 2025.
Editorial Board Member
Mohsen Mirkhalaf joined the Editorial Board of Materials Today Communications.
Docentship Lecture
Mohsen Mirkhalaf will give his Docentship (Associate Professor) lecture on 21 November, 2024.
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.
RECENT NEWS OF MATERIALSLAB
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.