Next generation battery electrodes: a metrological approach to processing

用于涂覆电池衬底以形成电极的油墨具有复杂的化学性质和微观结构。随着新一代材料的开发，需要新的方法来扩大和制造这些材料，这些材料具有适当的物理和化学基础，较少依赖于启发式和经验方法。该项目将探索基于物理和机器学习的方法，以制定制造过程指南和设计方法。

The inks used to coat battery substrates to form electrodes have a complex chemistry and microstructure. As new generations of materials are developed, new approaches to scale up and manufacture of these materials are required which have a proper physical and chemical foundation and rely less on heuristics and experiential methodologies. This project will explore physics and machine learning based approaches to develop process guidelines and design approaches for manufacture.