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DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006939
URN to cite this document: urn:nbn:de:bvb:703-epub-6939-6
URN to cite this document: urn:nbn:de:bvb:703-epub-6939-6
Title data
Albuquerque, Rodrigo Q. ; Brütting, Christian ; Standau, Tobias ; Ruckdäschel, Holger:
A machine learning investigation of low-density polylactide batch foams.
In: e-Polymers.
Vol. 22
(2022)
Issue 1
.
- pp. 318-331.
ISSN 1618-7229
DOI der Verlagsversion: https://doi.org/10.1515/epoly-2022-0031
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Project information
| Project financing: |
Deutsche Forschungsgemeinschaft |
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Further data
| Item Type: | Article in a journal |
|---|---|
| Keywords: | polylactide foams; biopolymers; sustainability; machine learning; model prediction |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Polymer Materials > Chair Polymer Materials - Univ.-Prof. Dr.-Ing. Holger Ruckdäschel Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Polymer Materials |
| Language: | English |
| Originates at UBT: | Yes |
| URN: | urn:nbn:de:bvb:703-epub-6939-6 |
| Date Deposited: | 31 Mar 2023 08:29 |
| Last Modified: | 31 Mar 2023 08:29 |
| URI: | https://epub.uni-bayreuth.de/id/eprint/6939 |
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