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:

References in zbMATH (referenced in 60 articles , 1 standard article )

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  1. B. Boys, T. J. Dodwell, M. Hobbs, M. Girolami: PeriPy - A High Performance OpenCL Peridynamics Package (2021) arXiv
  2. Vasileios Angelidakis, Sadegh Nadimi, Masahide Otsubo, Stefano Utili: CLUMP: A Code Library to generate Universal Multi-sphere Particles (2021) not zbMATH
  3. Yu, Yue; You, Huaiqian; Trask, Nathaniel: An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture (2021)
  4. Fu, Szu-Pei P.; Ryham, Rolf; Klöckner, Andreas; Wala, Matt; Jiang, Shidong; Young, Yuan-Nan: Simulation of multiscale hydrophobic lipid dynamics via efficient integral equation methods (2020)
  5. Nejat Pishkenari, Hossein; Golzari, Ali: A temperature-calibrated continuum model for vibrational analysis of the fullerene family using molecular dynamics simulations (2020)
  6. Popovici, Doru Thom; Schatz, Martin D.; Franchetti, Franz; Low, Tze Meng: A flexible framework for multidimensional DFTs (2020)
  7. Wang, Liwei; Chen, Zengsheng; Zhang, Jiafeng; Zhang, Xiwen; Wu, Zhongjun J.: Modeling clot formation of shear-injured platelets in flow by a dissipative particle dynamics method (2020)
  8. You, Huaiqian; Lu, Xinyang; Task, Nathaniel; Yu, Yue: An asymptotically compatible approach for Neumann-type boundary condition on nonlocal problems (2020)
  9. Buryachenko, Valeriy A.: Computational homogenization in linear elasticity of peristatic periodic structure composites (2019)
  10. Ni, Tao; Zaccariotto, Mirco; Zhu, Qi-Zhi; Galvanetto, Ugo: Static solution of crack propagation problems in peridynamics (2019)
  11. Sun, Wei; Fish, Jacob: Superposition-based coupling of peridynamics and finite element method (2019)
  12. Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E: DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models (2019) arXiv
  13. Zhen Zhang, Dong-Bo Zhang, Tao Sun, Renata Wentzcovitch: phq: a Fortran code to compute phonon quasiparticle properties and dispersions (2019) arXiv
  14. Du, Qiang; Tao, Yunzhe; Tian, Xiaochuan: A peridynamic model of fracture mechanics with bond-breaking (2018)
  15. Yu, Yue; Bargos, Fabiano F.; You, Huaiqian; Parks, Michael L.; Bittencourt, Marco L.; Karniadakis, George E.: A partitioned coupling framework for peridynamics and classical theory: analysis and simulations (2018)
  16. Budarapu, P. R.; Reinoso, J.; Paggi, M.: Concurrently coupled solid shell-based adaptive multiscale method for fracture (2017)
  17. Gu, Xin; Zhang, Qing; Yu, Yangtian: An effective way to control numerical instability of a nonordinary state-based peridynamic elastic model (2017)
  18. Nishawala, Vinesh V.; Ostoja-Starzewski, Martin: Peristatic solutions for finite one- and two-dimensional systems (2017)
  19. Ren, Huilong; Zhuang, Xiaoying; Rabczuk, Timon: Dual-horizon peridynamics: a stable solution to varying horizons (2017)
  20. Shiriaeva, E. F.; Stegailov, V. V.: Hydration structure of (\mathrmNa^+) and (\mathrmCl^-) ions in Tip3P water model (2017)

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