Understanding the temperature effect on transport dynamics and structures in polyamide reverse osmosis system via molecular dynamics simulations
Literature Information
Ke Li, Lifen Liu, Hao Wu, Shanlong Li, Chunyang Yu, Yongfeng Zhou, Wei Huang, Deyue Yan
The structures and transport dynamics of water and salt ions in polyamide (PA) reverse osmosis (RO) membranes as well as the temperature effects on the RO process were systematically investigated using a fully atomistic simulation method. By comparing the experimental data of the commercial membrane FT-30 and the available MD simulation results, the reliability of our PA RO model was validated. In addition, the groups on the polymer chains that preferentially participated in the coordination shells of salt ions were determined. Moreover, we found that the self-diffusion coefficients of both ions reduced by two orders of magnitude due to interactions between the ions and the polymer chains. Furthermore, NEMD simulations showed that the temperature has both positive and negative effects on the water flux. Although increasing the temperature can enhance the mobility of water molecule, it also can reduce the size of water clusters, which hampers an increase in the water flux. The decrease in size of the largest water clusters can partly explain the decrease in water flux when salt ions exist in the membrane. The current work provides a comprehensive understanding of the structure and transport behaviour of water and salt ions in the RO membranes.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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