Establish an accelerated design framework for lattice structures employing machine learning algorithms

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The aim of this project is to establish an accelerated design framework for lattice structures employing machine learning algorithms. This framework will be developed through three objectives: 1. Create a data bank for various unit cell topologies. 2. Use the data bank to train a data driven machine learning model for a two-scale topology optimisation process utilised to design heterogeneous lattice structures. 3. Consider the uncertainties associated with the data bank and asses their propagation through the framework.