Prediction of Thermal Decomposition Temperature of Polymers Using QSPR Methods-Reference-Cited by-同舟云学术

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Prediction of Thermal Decomposition Temperature of Polymers Using QSPR Methods

Published:2008-10-20 Issue:10 Volume:29 Page:2009-2016
ISSN:0253-2964
Container-title:Bulletin of the Korean Chemical Society
language:en
Short-container-title:Bulletin of the Korean Chemical Society

Author:

Publisher

Korean Chemical Society

Subject

General Chemistry

Link

http://ocean.kisti.re.kr/downfile/crosscheck/chemical/JAKO200802727060847.pdf

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Copolymer Property Prediction through the Weighted-Chained-SMILES Machine Learning Framework;ACS Applied Polymer Materials;2024-03-25

2. Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis;Energetic Materials Frontiers;2023-09

3. Building Up QSPR for Polymers Endpoints by Using SMILES-Based Optimal Descriptors;Challenges and Advances in Computational Chemistry and Physics;2023

4. Recent developments in the performance of micro/nanoparticle-modified urea-formaldehyde resins used as wood-based composite binders: A review;International Journal of Adhesion and Adhesives;2022-04

5. Nano-silica-based urea–formaldehyde composite with some derivates of coumarin as formaldehyde scavenger: hydrolytical and thermal stability;Polymer Bulletin;2020-01-25

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