High-throughput screening profiles the most promising organic photovoltaics materials
The photovoltaics market has advanced tremendously over the nearly seven decades since the first practical silicon solar cell was demonstrated. While silicon has dominated the market for years, organic photovoltaics are gaining ground as a promising alternative with many benefits in performance, traits and processing. With the support of the Marie Skłodowska-Curie Actions programme, the IDEAL project is tackling the challenge of moving this promising technology from the laboratory to the field. Using machine learning on data collected from high throughput processing techniques and numerous materials, the team expects to define the best compromise between efficiency and stability through prediction of the most important molecular descriptors for candidate materials.
Fields of science
- engineering and technologymaterials engineeringcolors
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energysolar energyphotovoltaic