Tiribocchi Adriano, Montessori Andrea, Amati Giorgio, Bernaschi Massimo, Bonaccorso Fabio, Orlandini Sergio, Succi Sauro, Lauricella Marco
Istituto per le Applicazioni del Calcolo CNR, via dei Taurini 19, 00185 Rome, Italy.
Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy.
J Chem Phys. 2023 Mar 14;158(10):104101. doi: 10.1063/5.0139850.
A regularized version of the lattice Boltzmann method for efficient simulation of soft materials is introduced. Unlike standard approaches, this method reconstructs the distribution functions from available hydrodynamic variables (density, momentum, and pressure tensor) without storing the full set of discrete populations. This scheme shows significantly lower memory requirements and data access costs. A series of benchmark tests of relevance to soft matter, such as collisions of fluid droplets, is discussed to validate the method. The results can be of particular interest for high-performance simulations of soft matter systems on future exascale computers.
介绍了一种用于高效模拟软材料的正则化格子玻尔兹曼方法。与标准方法不同，该方法从可用的流体动力学变量（密度、动量和压力张量）重建分布函数，而无需存储完整的离散粒子集。该方案显示出显著更低的内存需求和数据访问成本。讨论了一系列与软物质相关的基准测试，如液滴碰撞，以验证该方法。这些结果对于未来百亿亿次计算机上软物质系统的高性能模拟可能特别有意义。
