at Google ScholarTitle 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: https://doi.org/10.1515/epoly-2022-0031
Official URL: 
Project information
| Project financing: |
Deutsche Forschungsgemeinschaft |
|---|
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | polylactide foams; biopolymers; sustainability; machine learning; model prediction |
| 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 |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 01 Apr 2023 21:00 |
| Last Modified: | 03 Apr 2023 07:40 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/75824 |