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

本项目的目的是建立一个基于机器学习算法的点阵结构加速设计框架。这一框架将通过三个目标来制定：1.为各种单元格拓扑创建一个数据库。2.使用数据库训练数据驱动的机器学习模型，用于设计异质格子结构的两个规模的拓扑优化过程。3.考虑与数据库相关的不确定性，并评估它们在框架中的传播。

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.