Influence of specific intermolecular interactions on the thermal and dielectric properties of bulk polymers: atomistic molecular dynamics simulations of Nylon 6.

Soft Matter

Institute of Macromolecular Compounds, Russian Academy of Science, Bol'shoi pr. 31 (V.O.), St. Petersburg, 199004, Russia. and Departament of Physics, St. Peterburg State University, Ul'yanovskaya str. 1, Petrodvorets, St. Petersburg, 198504, Russia.

Published: January 2017

Specific intermolecular interactions, in particular H-bonding, have a strong influence on the structural, thermal and relaxation characteristics of polymers. We report here the results of molecular dynamics simulations of Nylon 6 which provides an excellent example for the investigation of such an influence. To demonstrate the effect of proper accounting for H-bonding on bulk polymer properties, the AMBER99sb force field is used with two different parametrization approaches leading to two different sets of partial atomic charges. The simulations allowed the study of the thermal and dielectric properties in a wide range of temperatures and cooling rates. The feasibility of the use of the three methods for the estimation of the glass transition temperature not only from the temperature dependence of structural characteristics such as density, but also by using the electrostatic energy and dielectric constant is demonstrated. The values of glass transition temperatures obtained at different cooling rates are practically the same for the three methods. By proper accounting for partial charges in the simulations, a reasonable agreement between the results of our simulations and experimental data for the density, thermal expansion coefficient, static dielectric constant and activation energy of γ and β relaxations is obtained demonstrating the validity of the modeling approach reported.

Download full-text PDF

Source
http://dx.doi.org/10.1039/c6sm02169gDOI Listing

Publication Analysis

Top Keywords

specific intermolecular
8
intermolecular interactions
8
thermal dielectric
8
dielectric properties
8
molecular dynamics
8
dynamics simulations
8
simulations nylon
8
proper accounting
8
charges simulations
8
temperatures cooling
8

Similar Publications

Cellulose is a homopolymer composed of β-glucose units linked by 1,4-beta linkages in a linear arrangement, providing its structure with intermolecular H-bonding networking and crystallinity. The participation of hydroxy groups in the H-bonding network results in a low-to-average nucleophilicity of cellulose, which is insufficient for executing a nucleophilic reaction. Importantly, as a polyhydroxy biopolymer, cellulose has a high proportion of hydroxy groups in secondary and primary forms, providing it with limited aqueous solubility, highly dependent on its form, size, and other materialistic properties.

View Article and Find Full Text PDF

Amycolatopsis sp. BJA-103 was isolated for its exceptional feather-degradation capability, leading to the purification, cloning, and heterologous expression of the keratinase enzyme, KER0199. Sequence analysis places KER0199 within the S8 protease family, revealing <60 % sequence similarity to known proteases.

View Article and Find Full Text PDF

Different types of anions mediated the formation of rice glutelin fibrils: Aggregation behaviors and structural characteristics.

Food Chem

January 2025

School of Food Science and Technology, State Key Laboratory of Food Science and Resources, Jiangnan University, Lihu Road 1800, Wuxi 214122, China. Electronic address:

Anions have more pronounced effect on the aggregation power of proteins than cations. Herein, the effect of different types of anions on rice glutelin (RG) based fibrils formation was investigated. The fibrils yield and growth rate of RG were enhanced with various anions, due to the specific ions effect and intermolecular interaction.

View Article and Find Full Text PDF

Diffusion Generative Models for Designing Efficient Singlet Fission Dimers.

J Phys Chem A

January 2025

Institute of Physical and Theoretical Chemistry, Julius-Maximilians-Universität Würzburg, Emil-Fischer-Str. 42, Würzburg 97074, Germany.

Diffusion generative models, a class of machine learning techniques, have shown remarkable promise in materials science and chemistry by enabling the precise generation of complex molecular structures. In this article, we propose a novel application of diffusion generative models for stabilizing reactive molecular structures identified through quantum mechanical screening. Specifically, we focus on the design challenge presented by singlet fission (SF), a phenomenon crucial for advancing solar cell efficiency beyond theoretical limits.

View Article and Find Full Text PDF

C-H activation is the most direct way of functionalizing organic molecules. Many advances in this field still require specific directing groups to achieve the necessary activity and selectivity. Developing C-H activation reactions directed by native functional groups is essential for their broad application in synthesis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!