A glimpse inside materials: Polymer structure – Glass transition temperature relationship as observed by a trained artificial intelligence
Author:
Funder
Gobierno de España Ministerio de Ciencia e Innovación
Publisher
Elsevier BV
Reference54 articles.
1. Prediction of rheometric properties of compounds by using artificial neural networks;Schwartz;Rubber Chem. Technol.,2001
2. Representation learning: A review and new perspectives;Bengio;IEEE Trans. Pattern Anal. Mach. Intell.,2013
3. Mastering the game of go with deep neural networks and tree search;Silver;Nature,2016
4. Character-Aware neural language models;Kim,2016
5. A machine-learning-assisted study of the permeability of small drug-like molecules across lipid membranes;Chen;Phys. Chem. Chem. Phys.,2020
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1. Visual analytics of an interpretable prediction model for the glass transition temperature of fluoroelastomers;Materials Today Communications;2024-08
2. Interpretable Machine Learning Framework to Predict the Glass Transition Temperature of Polymers;Polymers;2024-04-10
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