LAMMPS

LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a classical molecular dynamics code. LAMMPS can model an ensemble of particles in a liquid, solid, or gaseous state. It can model atomic, polymeric, biological, metallic, or granular systems using a variety of force fields and boundary conditions Homepage: http://lammps.sandia.gov/


References in zbMATH (referenced in 28 articles , 1 standard article )

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  1. 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)
  2. Smirnov, Grigory S.; Stegailov, Vladimir V.: Efficiency of classical molecular dynamics algorithms on supercomputing hardware (2016)
  3. Trȩdak, Przemysław; Rudnicki, Witold R.; Majewski, Jacek A.: Efficient implementation of the many-body reactive bond order (REBO) potential on GPU (2016)
  4. Wang, Y.; Sigurdsson, J.K.; Atzberger, P.J.: Fluctuating hydrodynamics methods for dynamic coarse-grained implicit-solvent simulations in LAMMPS (2016)
  5. 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)
  6. Franzelin, Fabian; Diehl, Patrick; Pflüger, Dirk: Non-intrusive uncertainty quantification with sparse grids for multivariate peridynamic simulations (2015)
  7. Michels, Dominik L.; Desbrun, Mathieu: A semi-analytical approach to molecular dynamics (2015)
  8. Nakamura, Takenobu; Kawamoto, Shuhei; Shinoda, Wataru: Precise calculation of the local pressure tensor in Cartesian and spherical coordinates in LAMMPS (2015)
  9. Nicholas P. Bailey, Trond S. Ingebrigtsen, Jesper Schmidt Hansen, Arno A. Veldhorst, Lasse Bohling, Claire A. Lemarchand, Andreas E. Olsen, Andreas K. Bacher, Lorenzo Costigliola, Ulf R. Pedersen, Heine Larsen, Jeppe C. Dyre, Thomas B. Schroder: RUMD: A general purpose molecular dynamics package optimized to utilize GPU hardware down to a few thousand particles (2015) arXiv
  10. Nouri, Nima; Ziaei-Rad, Saeed: A technique for calculating particle systems containing rigid and soft parts (2015)
  11. Tang, Yu-Hang; Kudo, Shuhei; Bian, Xin; Li, Zhen; Karniadakis, George Em: Multiscale universal interface: a concurrent framework for coupling heterogeneous solvers (2015)
  12. Thompson, A.P.; Swiler, L.P.; Trott, C.R.; Foiles, S.M.; Tucker, G.J.: Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials (2015)
  13. Zhang, Peng; Zhang, Na; Deng, Yuefan; Bluestein, Danny: A multiple time stepping algorithm for efficient multiscale modeling of platelets flowing in blood plasma (2015)
  14. Henke, Steven F.; Shanbhag, Sachin: Mesh sensitivity in peridynamic simulations (2014)
  15. Krause, Dorian; Fackeldey, Konstantin; Krause, Rolf: A parallel multiscale simulation toolbox for coupling molecular dynamics and finite elements (2014)
  16. Kylasa, S.B.; Aktulga, H.M.; Grama, A.Y.: PuReMD-GPU: A reactive molecular dynamics simulation package for GPUs (2014)
  17. Talebi, Hossein; Silani, Mohammad; Bordas, Stéphane P.A.; Kerfriden, Pierre; Rabczuk, Timon: A computational library for multiscale modeling of material failure (2014)
  18. Mackay, F.E.; Ollila, S.T.T.; Denniston, C.: Hydrodynamic forces implemented into LAMMPS through a lattice-Boltzmann fluid (2013)
  19. Aktulga, Hasan Metin; Pandit, Sagar A.; Van Duin, Adri C.T.; Grama, Ananth Y.: Reactive molecular dynamics: numerical methods and algorithmic techniques (2012)
  20. Liu, Wenyang; Hong, Jung Wuk: Discretized peridynamics for linear elastic solids (2012)

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