Recent Advances in Machine Learning-Assisted Design and Development of Polymer Materials.

Journal: Macromolecular rapid communications
Published Date:

Abstract

The traditional research paradigm for polymer materials relies heavily on time-consuming and inefficient trial-and-error methods, which are no longer sufficient to meet the demands of modern research and development. With the rapid advancement of big data and artificial intelligence technologies, machine learning has emerged as a powerful data analysis tool, revolutionizing polymer material research and development. This paper provides an overview of machine learning techniques, summarizes common machine learning algorithms, and reviews recent progress in machine learning-assisted polymer material design and development. Key areas include polymer sequence design, material property prediction, classification and identification, and applications leveraging computer vision technologies. Furthermore, this study discusses several critical challenges currently faced by the field and offers perspectives on future directions .

Authors

  • Longyu Ma
    State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Functional Polymer Design and Application, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, China.
  • Wenjing Li
    Department of Allergy, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
  • Jian Yuan
    State Key Laboratory of Chirosciences and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China.
  • Jian Zhu
  • Yan Wu
    Beijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096, China.
  • Hanliang He
    The Department of Orthopedic Surgery, the Fourth Affiliated Hospital of Soochow University, Suzhou, China.
  • Xiangqiang Pan
    State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Functional Polymer Design and Application, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, China.

Keywords

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