摘要
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.
基金
This work was financially supported by the National Natural Science Foundation of China(Nos.21971014,21672023 and 21950410533)
Jin-Liang Wang was supported by BIT Teli Young Fellow Recruitment Program.The authors thank the Analysis&Testing Center,Beijing Institute of Technology,for the characterization.A.Irfan express appreciation to the Deanship of Scientific Research at King Khalid University Saudi Arabia through a research groups program under grant number RGP1/36/43.
