About the project:
Cracks and Code: From High-Fidelity Simulations to Fast Scientific Machine Learning Models
Supervisor: Dr Emmanouil Kakouris, University of Warwick
When metals experience extreme events, such as shock waves, high-speed impacts, or rapid deformation, they can fail suddenly in ways that remain difficult to predict. In this project, you will investigate how cracks initiate and grow in metals under these high-rate conditions. You will use large-scale simulations (both atomistic and continuum) to study how damage forms and localises, and then develop scientific machine-learning models that can reproduce these processes far more efficiently.
Your results will help create faster more reliable tools for predicting material failure in real engineering applications.
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.
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