About the project:
From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments
Supervisor: Prof, James Kermode, University of Warwick
Develop cutting-edge machine learning models to predict how materials break at the atomic scale. You’ll create AI-driven simulations that reveal why tungsten, the leading fusion reactor material, transitions from ductile to brittle behaviour as the temperature drops, combining quantum mechanics, large-scale molecular dynamics, and deep learning.
Work with world-leading researchers at Warwick and the Max Planck Institute for Sustainable Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing.
Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths, or materials students wanting to blend fundamentals with real-world impact. Code, physics, and helping to solve the energy challenge, all in one project.
About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact
HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time.
If you’re excited by the idea of using advanced modelling and simulation to solve complex, real‑world problems, HetSys offers the perfect environment to push boundaries and make a difference.
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