PARTICLES 2027

A21 - Advances in Particle Methods: Theories and Algorithms for High-Order and High-Fidelity Schemes

Organized by: M. Asai (Kyushu University, Japan), T. Matsunaga (The University of Tokyo, Japan), A. Khayyer (Kyoto University, Japan), A. Shakibaeinia (Polytechnique Montreal, Canada) and K. Tsuji (Tohoku University, Japan)
Keywords: Artificial Intelligence, FSI, modelling, multiphase flows, SPH
Particle and meshfree methods have emerged as powerful computational frameworks for simulating complex physical phenomena involving large deformations, moving interfaces, and evolving topologies. Despite their success, achieving high-order accuracy, numerical consistency, and long-term stability remains a significant challenge. This session provides a multidisciplinary forum for presenting recent advances in theoretical foundations, numerical formulations, and algorithmic developments, including hybrid data-driven computational frameworks, for particle and meshfree methods. Particular emphasis will be placed on high-order spatial discretization, advanced time-integration techniques, and efficient algorithms for incompressible, multiphase, and multiphysics systems. Topics of interest include consistent boundary treatments, particle regularization and shifting techniques, adaptive and multi-resolution approaches, error estimation, and coupled problems such as fluid–structure interaction. Contributions addressing both fundamental methodological developments and challenging engineering applications are highly encouraged.