Machine learning framework to predict instantaneous heat release rate of polymer nanocomposites in cone calorimetry-Reference-Cited by-同舟云学术

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Machine learning framework to predict instantaneous heat release rate of polymer nanocomposites in cone calorimetry

Published:2023-12 Issue: Volume:218 Page:110563
ISSN:0141-3910
Container-title:Polymer Degradation and Stability
language:en
Short-container-title:Polymer Degradation and Stability

Author:

Xiao Junchen,Hobson Jose,Haranczyk Maciej,Wang De-Yi^ORCID

Funder

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Materials Chemistry,Polymers and Plastics,Mechanics of Materials,Condensed Matter Physics

Reference36 articles.

1. Perspective: materials informatics and big data: realization of the “fourth paradigm” of science in materials science;Agrawal;APL Mater.,2016

2. Heat release rates;Babrauskas,2016

3. Rapid estimation of the heat release rate of combustible items;Dusso;Chem. Eng. Trans.,2016

4. Heat release rate properties of wood-based materials;Chamberlain,1983

5. Novel fire testing methodology: why, how and what now?,1st International Conference on Performance Based and Life Cycle Structural EngineeringPLSE). HongKong;Maluk,2012

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1. Deeper Insights into Flame Retardancy of Polymers by Interpretable, Quantifiable, yet Accurate Machine-learning Model;Polymer Degradation and Stability;2024-09

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