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Text 2_Solubility Properties.txt
7 nov 2024 - Surface functionalization of graphene oxide with tannic acid: Covalent vs non-covalent approaches
Texto plano - 564 B - MD5: 937f7de865c4e641438c805066a190b5
Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
5 nov 2024
Diez-Pascual, Ana María; Champa-Bujaico, Elisabeth; Garcia Díaz, Pilar; Sesini, Valentina; G. Mosquera, Marta E., 2024, "Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes", https://doi.org/10.21950/AN5SP2, e-cienciaDatos, V1
In this project, a simple, cost-effective and scalable solution to improve the mechanical properties of poly(butylene succinate-co- butylene adipate) (PBSA) is reported by using functionalized single-walled carbon nanotubes (SWCNTs). Different SWCNT percentages w/w (0.15, 0.25, 0...
Figure 10_Impact Strength.png
Figure 10_Impact Strength.png
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen PNG - 49,6 KB - MD5: 4331f12f2289f9df5efc2faa269dc4e0
Figure 11_Young Modulus Vs SWCNT.png
Figure 11_Young Modulus Vs SWCNT.png
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen PNG - 145,7 KB - MD5: 78976463aaa373df3646fd5e46599c7d
Figure 12_Tensile Strengtn vs SWCNT.png
Figure 12_Tensile Strengtn vs SWCNT.png
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen PNG - 156,2 KB - MD5: ef1f81883a2aedfdf9fdf8f2e91f5875
Figure 13_Elongation at break vs SWCNT.png
Figure 13_Elongation at break vs SWCNT.png
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen PNG - 133,3 KB - MD5: a81eeab0576b3c620475bea3b5386873
Figure 14_Impact Strength vs SWCNT.png
Figure 14_Impact Strength vs SWCNT.png
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen PNG - 141,0 KB - MD5: 234b20fe3f6ffc7d4cbc6dcb5b508fb6
Figure 1_Scheme of PBSA and SWCNT.png
Figure 1_Scheme of PBSA and SWCNT.png
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen PNG - 122,3 KB - MD5: 2d5bcf46935d5a17cf51944ff4b864f6
Figure 2_Scheme of the Synthesis Process.jpg
Figure 2_Scheme of the Synthesis Process.jpg
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen JPEG - 153,3 KB - MD5: a39179261bdde67678c7c4dc766d1071
Figure 3_SEM PBSA-SWCNT (0.25%).png
Figure 3_SEM PBSA-SWCNT (0.25%).png
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Imagen PNG - 41,7 KB - MD5: 3472f5494cc2edd125eb15ea85c68652
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