A Machine Learning Approach for Polymer Classification Based on the Thermal Response under Data Scarcity─Tested on PMMA-Reference-Cited by-同舟云学术

A Machine Learning Approach for Polymer Classification Based on the Thermal Response under Data Scarcity─Tested on PMMA

Published:2023-06-29 Issue:27 Volume:62 Page:10711-10720
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Vaghefi Mahsa¹²,Barforoushan Alireza³,Nejabat Gholam-Reza⁴⁵^ORCID,Tavallali M. Sadegh³⁶^ORCID

Affiliation:

1. Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran, 71987-74731

2. Department of Advanced Calculations, Chemical, Petroleum & Polymer Engineering Research Center, Shiraz Branch, Islamic Azad University, Shiraz, Iran, 71987-74731

3. Department of Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran, 71987-74731

4. Department of Polymer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran, 71987-74731

5. Department of Applied Researches, Chemical, Petroleum & Polymer Engineering Research Center, Shiraz Branch, Islamic Azad University, Shiraz, Iran, 71987-74731

6. Department of Advanced Calculations, Chemical, Petroleum & Polymer Engineering Research Center, Shiraz, Iran, 71987-74731

Funder

Chemical, Petroleum and Polymer Engineering Research Center of Shiraz Branch, Islamic Azad University

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c00220

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5. Synthesis of core–shell PMMA–SiO2 nanoparticles with suspension–dispersion–polymerization in an aqueous system and its effect on mechanical properties of PVC composites