Transfer learning of full molecular weight distributions via high-throughput computer-controlled polymerization

• Main Authors: Tan, Jin Da, Ramalingam, Balamurugan, Wong, Swee Liang, Cheng, Jayce Jian Wei, Lim, Yee-Fun, Chellappan, Vijila, Khan, Saif A., Kumar, Jatin, Hippalgaonkar, Kedar
• 其他作者: School of Materials Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2023
• 主題: Engineering::Materials; Controlled Polymerization; High Throughput Experimentation
• 在線閱讀: https://hdl.handle.net/10356/171447

The skew and shape of the molecular weight distribution (MWD) of polymers have a significant impact on polymer physical properties. Standard summary metrics statistically derived from the MWD only provide an incomplete picture of the polymer MWD. Machine learning (ML) methods coupled with high-throu...