Launch week offerEnds in00h00m00s

annual Promonthly Pro

M. Fagerström

Professor in Computational Fracture Mechanics

Chalmers University of Technology

Sweden

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Sweden

Articles (12)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Collaborators (11)

Joris Remmers

Associate Professor

Eindhoven University of Technology

NETHERLANDS

View details

Ioannis Katsivalis

University of Bath

UNITED KINGDOM

View details

Fang Liu

Professor

Chalmers tekniska högskola

SWEDEN

View details

Leif Asp

Professor

Chalmers tekniska högskola

SWEDEN

View details

Christian Hopmann

GERMANY

View details

Dan Zenkert

Professor

KTH Royal Institute of Technology

SWEDEN

View details

Lars Pilgaard Mikkelsen

Associate Professor

Technical University of Denmark

DENMARK

View details

Mohsen Mirkhalaf

Assistant professor

University of Gothenburg

SWEDEN

View details

Brina Blinzler

Assistant Professor

University of Kansas

UNITED STATES

View details

Malin Åkermo

KTH Royal Institute of Technology

SWEDEN

View details

Hakan Çelik

RWTH Aachen University

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

M. Fagerström

Research Interests

Make your next move.

Explore related searches

Articles (12)

Mesostructural origins of the anisotropic compressive properties of low-density closed-cell foams: A deeper understanding

From X-ray CT to finite element models: A fully automated pipeline for mesoscale modelling of as-manufactured textile composites

Multi-fidelity data fusion for inelastic woven composites: Combining recurrent neural networks with transfer learning

A parametric study on the mesostructure design and stiffness of tow-based discontinuous composites using a voxel finite element model

Synthetic, automatically labelled training data for machine learning based X-ray CT image segmentation: Application to 3D-textile carbon fibre reinforced composites

A multiscale deep learning model for elastic properties of woven composites

Micromechanical modelling of short fibre composites considering fibre length distributions

Variationally consistent homogenisation of plates

A generalised path-following solver for robust analysis of material failure

Mesoscale modeling of ultra-thin woven fabric composite subjected to in-plane loading

A Customised Finn Dinghy Rudder for Optimal Olympic Performance

Efficient modelling of delamination growth using adaptive isogeometric continuum shell elements

Collaborators (11)

Joris Remmers

Ioannis Katsivalis

Fang Liu

Leif Asp

Christian Hopmann

Dan Zenkert

Lars Pilgaard Mikkelsen

Mohsen Mirkhalaf

Brina Blinzler

Malin Åkermo

Hakan Çelik

Make your next move.