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

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

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...

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Bibliographic Details
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
Other Authors: School of Materials Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Materials
Controlled Polymerization
High Throughput Experimentation
Online Access:https://hdl.handle.net/10356/171447

Internet

https://hdl.handle.net/10356/171447

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