Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP210100606
Funding Status
Active
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Funded Activity Summary
Parameterisation of voltammetry in a machine learning environment. Important devices in modern society such as batteries, fuel cells and medical sensors exploit special properties of complex electrochemical reactions. The aim of this multidisciplinary project is to develop an integrated approach to intelligent collection and analysis of large electrochemical data sets in a machine-learning environment. As a result, it will become possible for the first time to globally model and quantitatively parameterise all aspects of the dynamic electrochemistry associated with exceptionally complex electrochemical reactions in a statistically significant framework. Problems to be addressed are of biological and chemical significance. An end product will be a commercially viable, user-friendly instrumentation package.Funded Activity Details
Start Date: 12-2021
End Date: 12-2024
Funding Scheme: Discovery Projects
Funding Amount: $480,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Analytical Chemistry | Electrochemistry | Electroanalytical Chemistry
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Chemical Sciences | Expanding Knowledge in the Information and Computing Sciences |
