Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States.
Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, United States.
Adv Colloid Interface Sci. 2021 Dec;298:102545. doi: 10.1016/j.cis.2021.102545. Epub 2021 Oct 14.
Dissipative particle dynamics (DPD) is one of the most efficient mesoscale coarse-grained methodologies for modeling soft matter systems. Here, we comprehensively review the progress in theoretical formulations, parametrization strategies, and applications of DPD over the last two decades. DPD bridges the gap between the microscopic atomistic and macroscopic continuum length and time scales. Numerous efforts have been performed to improve the computational efficiency and to develop advanced versions and modifications of the original DPD framework. The progress in the parametrization techniques that can reproduce the engineering properties of experimental systems attracted a lot of interest from the industrial community longing to use DPD to characterize, help design and optimize the practical products. While there are still areas for improvements, DPD has been efficiently applied to numerous colloidal and interfacial phenomena involving phase separations, self-assembly, and transport in polymeric, surfactant, nanoparticle, and biomolecules systems.
耗散粒子动力学（DPD）是模拟软物质系统最有效的介观粗粒化方法之一。在这里，我们全面回顾了过去二十年中 DPD 在理论公式、参数化策略和应用方面的进展。DPD 弥合了微观原子和宏观连续体长度和时间尺度之间的差距。为了提高计算效率并开发原始 DPD 框架的高级版本和修改版，人们进行了大量的研究。能够再现实验系统工程特性的参数化技术的进展引起了工业界的极大兴趣，他们渴望使用 DPD 来表征、帮助设计和优化实际产品。虽然仍有改进的空间，但 DPD 已成功应用于涉及相分离、自组装和输运的众多胶体和界面现象，涵盖聚合物、表面活性剂、纳米颗粒和生物分子系统。
