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Figure 8_SEM_GO-g-TA.png
Figure 8_SEM_GO-g-TA.png
Nov 7, 2024 - Surface functionalization of graphene oxide with tannic acid: Covalent vs non-covalent approaches
Imagen PNG - 31,0 KB - MD5: 76f2ef76df8d517064b895d9c990b523
Figure 9_SEM_GO-COOH-g-TA.png
Figure 9_SEM_GO-COOH-g-TA.png
Nov 7, 2024 - Surface functionalization of graphene oxide with tannic acid: Covalent vs non-covalent approaches
Imagen PNG - 27,4 KB - MD5: c533e87aca5c016cf6fad9602f83e92f
readme_Surface functionalization of graphene oxide with tannic acid.txt
Nov 7, 2024 - Surface functionalization of graphene oxide with tannic acid: Covalent vs non-covalent approaches
Texto plano - 6,3 KB - MD5: eb750a640d66c666986ba7d13045d750
Text 1_Thermal and Antibacterial Properties.txt
Nov 7, 2024 - Surface functionalization of graphene oxide with tannic acid: Covalent vs non-covalent approaches
Texto plano - 476 B - MD5: 40c9c714ea7fb9971032504b2a115830
Text 2_Solubility Properties.txt
Nov 7, 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
Nov 5, 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, 0.5, 0.65, 0.75, 0.85 and 1.0) have been incorporated in the PBSA matri...
Figure 10_Impact Strength.png
Figure 10_Impact Strength.png
Nov 5, 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
Nov 5, 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
Nov 5, 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
Nov 5, 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
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