This talk will provide an overview of the three main approaches used within the group to aid the discovery of new materials (i) high-throughput virtual screening (ii) machine learning and (iii) bottom up construction of physical models. The relation between the tree approaches will be discussed including a methodology for selecting the best strategy given time and budget constraints. The examples cover a number of areas related to organic electronics including charge transport in molecular and polymeric materials, singlet fission, temperature activated delayed fluorescence, organic photovoltaics, emissive materials. We also introduce the DIADEM project, that enables identification and testing-in-the-lab of novel materials for organic electronics.
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