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

• المؤلفون الرئيسيون: Tan, Jin Da, Ramalingam, Balamurugan, Wong, Swee Liang, Cheng, Jayce Jian Wei, Lim, Yee-Fun, Chellappan, Vijila, Khan, Saif A., Kumar, Jatin, Hippalgaonkar, Kedar
• مؤلفون آخرون: School of Materials Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Materials; Controlled Polymerization; High Throughput Experimentation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171447
• المؤسسة: Nanyang Technological University

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...