LIGGGHTS open source discrete element method particle simulation code. LIGGGHTS stands for LAMMPS improved for general granular and granular heat transfer simulations. LAMMPS is a classical molecular dynamics simulator. It is widely used in the field of Molecular Dynamics. Thanks to physical and algorithmic analogies, LAMMPS is a very good platform for DEM simulations. LAMMPS offers a GRANULAR package to perform these kind of simulations. LIGGGHTS aims to improve those capability with the goal to apply it to industrial applications. See for documentation.

References in zbMATH (referenced in 20 articles )

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  1. Davydzenka, Tsimur; Tahmasebi, Pejman: High-resolution fluid-particle interactions: a machine learning approach (2022)
  2. Shen, Zhihao; Wang, Gang; Huang, Duruo; Jin, Feng: A resolved CFD-dem coupling model for modeling two-phase fluids interaction with irregularly shaped particles (2022)
  3. Xu, Wenxiang; Zhang, Bin; Jia, Mingkun; Wang, Wei; Gong, Zheng; Jiang, Jinyang: Discrete element modeling of 3D irregular concave particles: transport properties of particle-reinforced composites considering particles and soft interphase effects (2022)
  4. Feng, Y. T.: An energy-conserving contact theory for discrete element modelling of arbitrarily shaped particles: contact volume based model and computational issues (2021)
  5. Tronci, Giovanni; Buffo, Antonio; Vanni, Marco; Marchisio, Daniele: Validation of the diffusion mixture model for the simulation of bubbly flows and implementation in OpenFOAM (2021)
  6. Xiong, Shuchun; Chen, Shunhua; Zang, Mengyan; Makoto, Tsubokura: Development of an unresolved CFD-DEM method for interaction simulations between large particles and fluids (2021)
  7. Yu, Tao; Zhao, Jidong: Semi-coupled resolved CFD-DEM simulation of powder-based selective laser melting for additive manufacturing (2021)
  8. Zhang, Pei; Dong, Yueshi; Galindo-Torres, S. A.; Scheuermann, A.; Li, Ling: Metaball based discrete element method for general shaped particles with round features (2021)
  9. Kildashti, Kamyar; Dong, Kejun; Samali, Bijan: An accurate geometric contact force model for super-quadric particles (2020)
  10. Andrew Abi-Mansour: PyGran: An object-oriented library for DEM simulation and analysis (2019) not zbMATH
  11. Wachs, Anthony: Particle-scale computational approaches to model dry and saturated granular flows of non-Brownian, non-cohesive, and non-spherical rigid bodies (2019)
  12. Chang, Xiaolin; Wang, Y. T.; Zhou, W.; Ma, Gang; Liu, J. Y.: The influence of rotational resistance on critical state of granular materials (2017)
  13. Kabanda, Patrick; Wang, Mingbo: Numerical simulation of barite sag in pipe and annular flow (2017)
  14. Seil, Philippe; Pirker, Stefan: LBDEMcoupling: open-source power for fluid-particle systems (2017)
  15. Blais, Bruno; Lassaigne, Manon; Goniva, Christoph; Fradette, Louis; Bertrand, François: Development of an unresolved CFD-DEM model for the flow of viscous suspensions and its application to solid-liquid mixing (2016)
  16. Wang, Kun; Sun, WaiChing: A semi-implicit discrete-continuum coupling method for porous media based on the effective stress principle at finite strain (2016)
  17. Blais, Bruno; Bertrand, François: On the use of the method of manufactured solutions for the verification of CFD codes for the volume-averaged Navier-Stokes equations (2015)
  18. Blais, Bruno; Tucny, Jean-Michel; Vidal, David; Bertrand, François: A conservative lattice Boltzmann model for the volume-averaged Navier-Stokes equations based on a novel collision operator (2015)
  19. Servin, M.; Wang, D.; Lacoursière, C.; Bodin, K.: Examining the smooth and nonsmooth discrete element approaches to granular matter (2014)
  20. Shan, Tong; Zhao, Jidong: A coupled CFD-DEM analysis of granular flow impacting on a water reservoir (2014)