Eduardo Naranjo-Adorno, Edgar O Castrejón-González, Juan F J Alvarado, Christian O Díaz-Ovalle, Vicente Rico-Ramírez
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引用次数: 0
Abstract
Context: Polyethylene (PE) and polylactic acid (PLA) are two of the most widely used polymers. It is known that their mechanical properties, such as hardness, are poor. In order to enhance the mechanical properties of those polymers, reinforcements have to be incorporated. Carbon nanotubes (CNTs) have proven to be an excellent choice for reinforcement. However, due to the π-π interactions, the nanotubes tend to agglomerate. One of the strategies to avoid agglomerations is chemical functionalization. The 3-amino-propyl tri-ethoxy silane (APTES) is a suitable option for functionalization. In this work, three different polymeric configurations were analyzed to verify their effect on hardness: linear, hyperbranched, and star-like. Further, the configuration with the highest hardness was reinforced with functionalized CNTs with APTES groups. Results indicate that a linear configuration, both of PE and PLA, generates greater hardness due to better structural arrangement. The percentage of functionalization of CNTs that generates a better interaction with PLA is 3%, which corresponds to five anchored groups. The addition of CNTs increases the hardness 14 times with respect to that of PLA without reinforcement.
Method: Molecular models were built and visualized using MedeA and OVITO software programs. All simulations were run using the LAMMPS software. The force fields utilized were PCFF for polyethylene and COMPASS for PLA and carbon nanotubes. A van der Waals model was used to consider the non-bonding interactions between the indenter and substrate. An NVT ensemble was used to construct the substrates, and the indentation procedure involved iterative cycles of minimization and displacement of the indenter.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.