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LAMMPS MOLECULAR DYNAMICS SIMULATOR lamp: a device that generates light, heat, or therapeutic radiation; something that illumines the mind or soul -- www.dictionary.com hover to animate -- input script physical analog 2023 LAMMPS Workshop & Symposium, held virtually from Aug 8-11, 2023. Visit workshop website. There is a new LAMMPS overview paper which you can cite in your publications. See citation details here and cool images here. Big PictureCodeDocumentationResultsRelated SoftwareContextUser Support Features Download Manual Publications Pre/Post processing Authors MatSci forum Non-features GitHub Programmer guide Picture gallery External packages & tools History Slack channel Packages SourceForge Tutorials Movie gallery Pizza.py toolkit Funding IRC channel FAQ Latest features & bug fixes MD to LAMMPS glossary Benchmarks Visualization Open source Workshops Wish list Report bugs & request features Commands Citing LAMMPS Other MD codes Contribute to LAMMPS Books about MD -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- LAMMPS is a classical molecular dynamics code with a focus on materials modeling. It's an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. LAMMPS has potentials for solid-state materials (metals, semiconductors) and soft matter (biomolecules, polymers) and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generically, as a parallel particle simulator at the atomic, meso, or continuum scale. LAMMPS runs on single processors or in parallel using message-passing techniques and a spatial-decomposition of the simulation domain. Many of its models have versions that provide accelerated performance on CPUs, GPUs, and Intel Xeon Phis. The code is designed to be easy to modify or extend with new functionality. LAMMPS is distributed as an open source code under the terms of the GPLv2. The current version can be downloaded here. Links are also included to older versions. All LAMMPS development is done via GitHub, so all versions can also be accessed there. The main authors of LAMMPS can be contacted via email to "developers at lammps.org" and are listed individually on this page along with contact info and other contributors. Funding for LAMMPS development has come primarily from the US Deparment of Energy (OASCR, OBER, ASCI, LDRD, ECP, Genomes-to-Life) and is acknowledged here. LAMMPS received an R&D 100 award in 2018. Click here for more info and a video. -------------------------------------------------------------------------------- SEARCH THE LAMMPS WEB PAGES × search Custom Search Sort by: Relevance Relevance Date -------------------------------------------------------------------------------- RECENT LAMMPS NEWS * (4/24) Support for input and output of general triclinic geometries. See details here and here * (8/23) New stable release, 2Aug2023 version. See details here * (3/23) New fix mdi/qm and mdi/qmmm commands to make it easier to couple LAMMPS with quantum codes via the MDI code coupling library. Examples for PySCF, LATTE, and NWChem are included in examples/QUANTUM. * (12/22) New distributed grid 3d/2d classes and associated commands to make it easier to develop new hybrid particle/grid models. See details here and here * (8/22) New AMOEBA package with implementations of the AMOEBA and HIPPO polarized force fields from the Tinker MD code. See details here * (6/22) New stable release, 23Jun22 version. See details here * (9/21) New stable release, 29Sep21 version. See details here * (5/21) Support for the MolSSI Driver Interface (MDI) code-coupling library to enable LAMMPS to act as an MD engine in a client/server manner. See details here * (5/21) New and improved multi length-scale neighboring algorithm. See details here * Old news -------------------------------------------------------------------------------- LAMMPS HIGHLIGHT (see the Pictures and Movies pages for more examples of LAMMPS calculations) BLOOD FLOW IN CAPILLARIES This is work by Kirill Lykov (kirill.lykov at usi.ch), Xuejin Li et al at the USI, Switzerland and Brown University, USA to develop new Open Boundary Condition (OBC) methods for particle-based methods suitable to simulate flow of deformable bodies in complex computational domains with several inlets and outlets. The image (left) and movie (right) show the application of the OBCs to red blood cell flow in a straight pipe, bifurcation, and a part of a capillary network. The program Blender was used for the rendering. This paper has further details. Inflow/Outflow Boundary Conditions for Particle-Based Blood Flow Simulations: Application to Arterial Bifurcations and Trees, K. Lykov, X. Li, H. Lei, I. V. Pivkin, G. E. Karniadakis, PLoS Computational Biology 11(8): e1004410 (2015). (doi:10.1371/journal.pcbi.1004410) (abstract)