Updates on database development and deep learning analysis

Updates on database development and deep learning analysis

One of the major goals of the CompBat project is to elaborate a high-throughput screening (HTS) methodology to assist the discovery of new redox active compounds for aqueous organic redox flow batteries. Towards this end, the TTK team is now expanding the initial...
Updates on database development and deep learning analysis

Redox flow battery and solid boosters finite element model

Uppsala University preliminary results The objective of Work package 2 is the construction of a finite element model for a redox flow battery, parametrized with input data coming both from density functional theory (DFT) calculations and experimental measurement. The...
Flow Batteries modeling: Sonar-CompBat workshop

Flow Batteries modeling: Sonar-CompBat workshop

Following up the CompBat-Sonar workshop of the 27th June in Brussels, here you can find two of the more relevant presentations of our project, that one where our coordinator, Pekka Peljo from Turku University gave an overview of the project and the results achieved so...