Machine learning in polymer informatics

Polymers have been widely used in energy storage, construction, medicine, aerospace, and so on. However, the complexity of chemical composition morphology polymers has brought challenges to their development. Thanks integration machine learning algorithms large data resources, data-driven methods opened up a new road for development polymer science engineering. The emerging informatics attempts accelerate performance prediction process optimization by using models based on reliable data. With gradual supplement currently available databases, emergence databases continuous improvement algorithms, research paradigm will be more efficient used. Based these points, this paper reviews trends assisted provides simple introduction researchers materials, artificial intelligence, other fields.