Dynamic electrochemistry with Bayesian inference

该项目旨在开发并应用于具有生物意义的分子和具有工业意义的离子液体的动态电化学的高度先进的综合研究包。为了解电池和生物传感器等电化学设备而设计的实验通常基于动态伏安法原理。该项目将把交流伏安仪器和对相关物理化学建模的软件包与来自贝叶斯推理的数据分析工具结合起来。该项目有望为报告和商业利用统计上理解的电极动力学建立一个新的标准。开发无铂燃料电池和其他装置所需的基本数据将出现在这项研究计划中。

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.