Articles citing this article

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Cited article:

Prediction of random packing density and flowability for non-spherical particles by deep convolutional neural networks and Discrete Element Method simulations

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Powder Technology 393 559 (2021)
https://doi.org/10.1016/j.powtec.2021.07.056

A multi‐core ready discrete element method with triangles using dynamically adaptive multiscale grids

Konstantinos Krestenitis and Tobias Weinzierl
Concurrency and Computation: Practice and Experience 31 (19) (2019)
https://doi.org/10.1002/cpe.4935

Hopper flow of irregularly shaped particles (non-convex polyhedra): GPU-based DEM simulation and experimental validation

Nicolin Govender, Daniel N. Wilke, Chuan-Yu Wu, et al.
Chemical Engineering Science 188 34 (2018)
https://doi.org/10.1016/j.ces.2018.05.011

Towards the simulation of arbitrarily shaped 3D particles using a homogenised lattice Boltzmann method

Robin Trunk, Jan Marquardt, Gudrun Thäter, Hermann Nirschl and Mathias J. Krause
Computers & Fluids 172 621 (2018)
https://doi.org/10.1016/j.compfluid.2018.02.027