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readme_Machine learning algorithms to optimize.txt
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Texto plano - 6,5 KB - MD5: 33f9ce9bddfe535bda79b3f5d7bcf6e4
Text 1_Mechanical Properties.txt
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Texto plano - 967 B - MD5: ed90f7d70eda8e1dc3e544137dcc7ce2
Text 2_Thermal Properties.txt
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Texto plano - 776 B - MD5: b2f2fa31b57871b96fee7e311139b101
Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
5 nov 2024
Diez-Pascual, Ana María; Champa-Bujaico, Elisabeth; Garcia Díaz, Pilar; Lomas Redondo, Alba, 2024, "Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques", https://doi.org/10.21950/2ZUDRR, e-cienciaDatos, V1
Machine learning (ML) algorithms offer quick and accurate predictions of material properties at a low computational cost. In this project, the mechanical properties of multiscale poly(3-hydroxybutyrate) (P3HB)-based nanocomposites reinforced with different concentrations of multi...
Figure 1_photos I.jpg
Figure 1_photos I.jpg
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen JPEG - 31,1 KB - MD5: 201295890ff370c7fe968acdf6ca15b1
FIgure 2_Photos II.jpg
FIgure 2_Photos II.jpg
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen JPEG - 31,7 KB - MD5: 092b5e66b60762d138050a9f7ed83d3c
Figure 3_SEM I.png
Figure 3_SEM I.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 183,6 KB - MD5: 0e727d836a3c4d73ce45b0cc7c66dde4
Figure 4_SEM II.png
Figure 4_SEM II.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 179,6 KB - MD5: c9a35e6160346ff0e8fcd7ba7e71cf8b
Figure 5_Young Modulus.png
Figure 5_Young Modulus.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 50,1 KB - MD5: 8b414932a50aea30d3f68115f7b564b3
Figure 6_Tensile Strength.png
Figure 6_Tensile Strength.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 54,9 KB - MD5: 6aa2b97c341fd685c3308c92cdcc94cc
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