Additive manufacturing-enabled micro-architected cellular composites for energy materials

本研究的目的是通过增材制造实现微纳米结构的超材料，设计和开发高效稳定的电池。在微观和纳米尺度上，晶格的分层设计解耦了历史上连接的宏观特性，如强度、扩散率和密度，并允许编程所需的材料特性。该研究将研究一系列3D打印技术，以制造微纳米尺度的结构，利用内部纳米工程原料来发现具有增强性能和机械稳定性的材料。多尺度和多物理场建模方法将与机器学习工具相结合，以预测属性并实现超材料的逆设计。本研究成果将使设计出符合现代电子设备要求的结构化高性能储能材料成为可能。

The objective of this study is to design and develop highly efficient and stable batteries through micro-and nano-architectured metamaterials enabled by additive manufacturing. The hierarchical design of lattices at micro and nano-scales decouples historically linked macroscopic properties such as strength, diffusivity and density, and allows for programming desired material properties. The study will investigate a range of 3D printing techniques to fabricate micro and nano-scale architectures, utilizing in-house nanoengineered feedstocks to discover materials with enhanced performance and mechanical stability. Multiscale and Multiphysics modelling approaches will be combined with Machine Learning tools to predict properties and enable the inverse design of metamaterials. The outcome of this research will enable the design of structured high-performance energy storage materials that meet modern electronic devices' requirements.