Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward-Reference-Cited by-同舟云学术

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Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward

Published:2024-09-07 Issue: Volume: Page:
ISSN:0024-9297
Container-title:Macromolecules
language:en
Short-container-title:Macromolecules

Author:

Beaucage Peter A.¹^ORCID,Sutherland Duncan R.²³,Martin Tyler B.³^ORCID

Affiliation:

1. NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States

2. University of Colorado Boulder, Boulder, Colorado 80309, United States

3. Material Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.macromol.4c01410

Reference53 articles.

1. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles; J3016_202104; SAE International, 2021.

2. Combinatorial Methods for Polymer Science

3. Combinatorial Methods, Automated Synthesis and High-Throughput Screening in Polymer Research: Past and Present

4. Polymer Synthesis in Continuous Flow Reactors

5. Automation of Controlled/Living Radical Polymerization

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