Machine Learning for Organic Photovoltaic Polymers: A Minireview

Machine learning is a powerful tool that can provide a way to revolutionize the material science. Its use for the designing and screening of materials for polymer solar cells is also increasing. Search of efficient polymeric materials for solar cells is really difficult task. Researchers have synthesized and fabricated so many materials. Sorting the results and get feedback for further research requires an innovative approach. In this minireview, we provides brief introduction of machine learning. The importance of machine learning is also mentioned, and the application of machine learning for polymeric material design is discussed. The key challenges that are hindering the wide spread use of machine are discussed. Suggestions are also given to improve the use of data science. The predictions using machine learning maybe not highly accurate but it definitely better than no prediction at all.

Automated summary

Machine learning is a powerful tool that can revolutionize material science and aid the design and screening of materials for polymer solar cells. Despite facing challenges, it remains an important aspect of data science applications.