Record link: 
http://hdl.handle.net/20.500.12708/137815
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Title: 
Hydrothermal polymerization of porous aromatic polyimide networks and machine learning-assisted computational morphology evolution interpretation
en
Citation: 
Lahnsteiner, M., Caldera, M., Moura, H. M., Cerron Infantes, D. A., Roeser, J., Konegger, T., Thomas, A., Menche, J., & Unterlass, M. M. (2021). Hydrothermal polymerization of porous aromatic polyimide networks and machine learning-assisted computational morphology evolution interpretation. Journal of Materials Chemistry A: Materials for Energy and Sustainability, 9(35), 19754–19769. https://doi.org/10.1039/d1ta01253c
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Publisher DOI: 
10.1039/d1ta01253c
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Publication Type: 
Article - Original Research Article
en
Language: 
English
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Authors: 
Lahnsteiner, Marianne 
Caldera, Michael 
Moura, Hipassia M. 
Cerron Infantes, Daniel Alonso 
Roeser, Jerome 
Konegger, Thomas 
Thomas, Arne 
Menche, Jörg 
Unterlass, Miriam M. 
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Organisational Unit: 
E164-03-1 - Forschungsgruppe Anorganische Werkstoffe 
E165-02-2 - Forschungsgruppe Organische Hochleistungsmaterialien 
E163-02-2 - Forschungsgruppe Organische Hochleistungsmaterialien 
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Journal: 
Journal of Materials Chemistry A: materials for energy and sustainability 
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ISSN: 
2050-7488
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Date (published): 
2021
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Number of Pages: 
16
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Publisher: 
ROYAL SOC CHEMISTRY
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Peer reviewed: 
Yes
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Keywords: 
General Materials Science; General Chemistry; Renewable Energy, Sustainability and the Environment
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Research Areas: 
Non-metallic Materials: 50%
Materials Characterization: 30%
Surfaces and Interfaces: 20%
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Science Branch: 
Chemie
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