Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization-Reference-Cited by-同舟云学术

Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization

Published:2023-07-11 Issue:15 Volume:63 Page:4560-4573
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Tan Jin Da¹²,Ramalingam Balamurugan¹³,Wong Swee Liang¹⁴,Cheng Jayce Jian Wei¹^ORCID,Lim Yee-Fun¹³^ORCID,Chellappan Vijila¹^ORCID,Khan Saif A.²⁵,Kumar Jatin¹⁶,Hippalgaonkar Kedar¹⁷⁸^ORCID

Affiliation:

1. Institute of Materials Research & Engineering, Agency for Science Technology and Research, 2 Fusionopolis Way, 138634 Singapore, Singapore

2. National University of Singapore Graduate School − Integrative Sciences and Engineering Programme, 21 Lower Kent Ridge Road, Singapore 119077, Singapore

3. Institute of Sustainability for Chemicals, Energy and Environment, Agency for Science Technology and Research, 8 Biomedical Grove, Singapore 138665, Singapore

4. Home Team Science and Technology Agency, Singapore 138507, Singapore

5. Department of Chemical and Biomolecular Engineering − National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore

6. Xinterra Pte. Ltd., 77 Robinson Road, Singapore 068896, Singapore

7. Department of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore

8. Institute of Functional Intelligent Materials − National University of Singapore, 4 Science Drive 2, Singapore 117544, Singapore

Funder

Institute of Materials Research and Engineering

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00504

Reference74 articles.

1. Principles of Polymerization

2. Controlling polymer properties through the shape of the molecular-weight distribution

3. “Shaping” the Future of Molecular Weight Distributions in Anionic Polymerization

4. The downside of dispersity: why the standard deviation is a better measure of dispersion in precision polymerization

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