Dynamic electrochemistry with Bayesian inference

该项目旨在开发和应用动态电化学中具有生物意义的分子和具有工业重要性的离子液体的高度先进的集成研究包。设计用于理解电化学装置（如电池和生物传感器）的实验通常基于动态伏安原理。该项目将集成交流伏安仪器和软件包，这些软件包将使用贝叶斯推理衍生的数据分析工具对相关物理化学进行建模。该项目有望为报告和商业开发统计上理解的电极动力学设定一个新的标准。开发无铂燃料电池和其他设备所需的基本数据将在这个研究项目中出现。

This project aims to develop and apply a highly advanced integrated research package in dynamic electrochemistry to molecules of biologically significance and ionic liquids of industrial importance. Experiments designed to understand electrochemical devices such as batteries and biosensors are often based on dynamic voltametric principles. This project will integrate alternating current voltametric instrumentation and software packages that model the relevant physical chemistry with data analysis tools derived from Bayesian inference. This project is expected to set a new standard for reporting and commercially exploiting statistically understood electrode kinetics. Basic data needed to develop platinum free fuel cells and other devices will emerge in this research programme.