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Advances in Computational Techniques for Bio-Inspired Cellu..:
A. I. Pais
;
J. Belinha
;
J. L. Alves
https://www.mdpi.com/1996-1944/16/11/3946. , 2023
Link:
https://doi.org/10.3390/ma16113946
RT Journal T1
Advances in Computational Techniques for Bio-Inspired Cellular Materials in the Field of Biomechanics: Current Trends and Prospects
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:70be29c4e7864f558374c1973dd0c407&Exemplar=1&LAN=DE A1 A. I. Pais A1 J. Belinha A1 J. L. Alves PB MDPI AG YR 2023 K1 artificial intelligence K1 machine learning K1 deep learning K1 computational methods K1 scaffold K1 cellular materials K1 Technology K1 T K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 K1 Engineering (General). Civil engineering (General) K1 TA1-2040 K1 Microscopy K1 QH201-278.5 K1 Descriptive and experimental mechanics K1 QC120-168.85 JF https://www.mdpi.com/1996-1944/16/11/3946 LK http://dx.doi.org/https://doi.org/10.3390/ma16113946 DO https://doi.org/10.3390/ma16113946 SF ELIB - SuUB Bremen
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