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Prediction and Interpretation of Polymer Properties Using the Graph Convolutional Network
[Image: see text] We present machine learning models for the prediction of thermal and mechanical properties of polymers based on the graph convolutional network (GCN). GCN-based models provide reliable prediction performances for the glass transition temperature (T(g)), melting temperature (T(m)),...
Autores principales: | Park, Jaehong, Shim, Youngseon, Lee, Franklin, Rammohan, Aravind, Goyal, Sushmit, Shim, Munbo, Jeong, Changwook, Kim, Dae Sin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954297/ https://www.ncbi.nlm.nih.gov/pubmed/36855563 http://dx.doi.org/10.1021/acspolymersau.1c00050 |
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