Simulation of Particle Flow and Discrete Element

Dear Colleagues,

The behaviour and interaction of particles play a crucial role in a wide range of natural phenomena and engineering applications, including bulk material handling, geotechnical engineering, additive manufacturing, mining, pharmaceuticals, and agricultural processing. With continuous progress in computational capabilities and numerical methods, particle-based simulations—particularly the Discrete Element Method (DEM)—have become powerful tools for gaining insights into complex particulate systems.

As the demand for more accurate, efficient, and predictive models grows, researchers are increasingly combining DEM with other approaches, such as Computational Fluid Dynamics (CFD), Finite Element Method (FEM), and machine learning techniques, to simulate multiphysics interactions and large-scale systems with greater fidelity.

This Special Issue on “Simulation of Particle Flow and Discrete Element” invites high-quality contributions that present novel methodologies, advanced simulations, and innovative applications related to particle flow and DEM-based techniques. We aim to bring together research that enhances understanding, modelling accuracy, and computational efficiency in particle-laden systems.

Topics of interest include, but are not limited to:

• Theoretical development and improvement of DEM and particle-based models;
• Coupled simulations of particle systems with fluid (CFD–DEM), structures (FEM–DEM, MBD-DEM), or thermal fields;
• Calibration, validation, and uncertainty quantification in particle flow simulations;
• Large-scale and high-performance computing for particle simulations;
• Novel applications of DEM in industrial processes, civil engineering, mining, agriculture, etc.
• Particle flow behaviour under complex boundary conditions or external fields (e.g., magnetic, electric, thermal);
• Machine learning and data-driven approaches in particle simulation and analysis.

Dr. Jakub Hlosta
Dr. Weronika Kruszelnicka
Guest Editors

Manuscript Submission Information

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