lammps/lammps

Features

• Interatomic Potentials - Provides a comprehensive framework for implementing pairwise, many-body, and machine learning interatomic potentials.
• Parallel Simulations - Distributes the simulation domain using MPI to enable parallel execution across multiple compute nodes.
• Atomic System Simulations - Provides a high-performance engine for modeling the physical movements of atoms and molecules to study material properties.
• Domain Decomposition - Distributes atoms across computing processes using domain decomposition to compute forces in parallel.
• High-Performance Computing - A high-performance computing engine that scales atomic models across distributed processors and GPUs.
• Molecular Dynamics Simulators - Simulates the physical movements of atoms and molecules over time to analyze statistical properties like average energy and temperature.
• Simulation Integrations - Provides a C-style API to embed molecular dynamics simulation capabilities into other software or scripts.
• General Purpose Compute Backends - Offloads heavy numerical physics computations to GPUs via OpenCL, CUDA, or HIP backends.
• Custom Potential Implementations - Implements new interaction styles for bonds and angles by overriding core force methods.
• Physics and Simulation - Establishes simulation box dimensions and lattice structures to define the physical environment.
• Physics Simulation - Defines the physical dimensions and boundary conditions of the simulation workspace.
• Distributed Physics Simulations - Executes large-scale computations across multiple processors using distributed grids and optimized communication patterns.
• Mathematical Model Implementations - Implements custom styles for interactions and computes to define new mathematical models.
• Parallel Simulation Engines - Distributes large-scale atomic simulations across processors using MPI, OpenMP, and GPU acceleration.
• Molecular Dynamics - Models particle ensembles across various states using interatomic potentials and boundary conditions.
• Molecular Geometry Modeling - Defines structural constraints and energy profiles for bonds and dihedrals to maintain molecular architectures.
• Physics and Simulation - Manages the physical volume and spatial regions of the simulation domain.
• GPU Acceleration - Offloads heavy numerical computations to GPU hardware using multiple backends to increase simulation speed.
• Physical Property Computations - Defines custom variables and computations to track physical properties and diagnostic data during simulation.
• Simulation - Creates class instances to execute abstract operations and commands for controlling molecular dynamics simulations programmatically.
• Simulation Lifecycle Control - Manages simulation instances and executes commands through C, C++, Python, or Fortran interfaces.
• Go Library Integrations - Instantiates the simulation engine within external calling code to control simulations programmatically via an API.
• C-Based Embedding APIs - Exposes C-based embedding APIs to integrate simulation capabilities into external applications.
• Physics Plugin Architecture - Uses inheritance and base classes to allow custom interatomic potentials without modifying the core engine.
• CLI Script Execution - Executes molecular dynamics tasks through a command-based system to define parameters and steps.
• External Library Integrations - Exposes a library interface and coupling mechanisms to link simulation logic with other software packages.
• Physical Property Analysis - Calculates physical constants like thermal conductivity and viscosity based on particle dynamics.
• Atom Identifier Tracking - Maps global atom IDs to local indices to locate atoms regardless of migration between processors.
• Atomic Angle Interaction Models - Calculates energy and forces between three atoms using harmonic or custom functions.
• Atomic Bond Interaction Models - Calculates forces between bonded atoms using harmonic, Morse, or FENE models.
• Atomic Structure Initialization - Populates simulation domains by reading coordinates or generating atoms on crystalline lattices.
• Computational Domain Load Balancing - Distributes particles across processors using recursive bisection to equalize the computational load.
• Differential Equation Solvers - Implements numerical solvers for the ordinary and partial differential equations that govern particle trajectories.
• Energy and Virial Tallying - Calculates global or per-atom contributions to instantaneous energy and virial for thermodynamic analysis.
• Force Field Parameterization - Sets the coefficients for atomic interactions to determine the physical behavior of the simulation.
• Ghost Cell Synchronization - Synchronizes atom information and accumulated values between neighboring processors using ghost cells.
• GPU-Accelerated Physics - Offloads calculations within distributed sub-domains to GPUs using CUDA, OpenCL, or HIP for increased throughput.
• Scientific Computing and Simulation - Defines custom calculations for properties and applies constraints to the atomic ensemble to regulate simulation physics.
• HPC Simulation Scaling - Distributes large-scale computational workloads across multiple processors to enable the simulation of systems with millions of particles.
• Improper Torsion Modeling - Calculates energy penalties for out-of-plane displacements to maintain specific molecular geometries.
• Interatomic Force Calculations - Calculates forces and torques derived from pair, bond, angle, and dihedral interactions.
• Irregular Data Communication - Implements high-performance irregular data communication for particle migration and ghost cell synchronization across processors.
• Long-Range Electrostatics Solvers - Solves for electrostatic interactions using Ewald summation or PPPM methods.
• Material Property Analysis - Determines elastic constants and stress profiles for solids across different temperatures.
• Molecular Dynamics Integration - Processes the time-evolution of molecular systems using integration styles like velocity-Verlet.
• Molecular Topology Definition - Initializes the simulation cell and populates it with atoms using data or lattice files.
• Nearest Neighbor Searches - Tracks nearby atoms using binning or quadratic algorithms to avoid exhaustive pair searches during force calculations.
• Parallel Computation Thread Pools - Utilizes OpenMP multi-threading within MPI processes to distribute heavy numerical tasks across CPU cores.
• Parallel Domain Data Migration - Transfers per-atom data between processors to support dynamic load balancing and particle movement.
• Parallel Grid Communication - Creates distributed grids where each processor owns a sub-block of cells for parallel scientific computation.
• Particle Dynamics Modification - Applies forces and time-integration schemes to evolve the physical state of the atomic system over time.
• Per-Atom Data Management - Persists custom atomic properties and migrates data as atoms move between parallel sub-domains.
• Per-Particle Property Management - Stores and updates physical attributes for atoms while synchronizing data across subdomains.
• Physical Boundary Constraints - Defines physical constraints including 2D spaces, triclinic boxes, walls, and controllers.
• Simulation Command Execution - Runs a sequence of commands from a text file to configure settings and perform physics computations.
• Simulation Configuration Loading - Loads initial atomic positions, bond topologies, and restart files to begin a simulation.
• Simulation Data Logging - Maintains per-atom and global tensor data throughout simulations with support for system restarts.
• Simulation Domain Management - Implements flexible simulation box dimensions and boundaries to control the spatial extent of the molecular system.
• Simulation Engine Embeddings - Provides C, C++, Python, and Fortran interfaces to embed the simulation engine into external applications.
• Simulation Input Scripting - Configures complex physics and interaction styles through a text-based input-script command system.
• Simulation Metrics Analysis - Provides capabilities to calculate system-wide metrics and perform spatial or temporal averaging of atomic data.
• Simulation Workspace Configurations - Defines units, dimensions, boundary conditions, and processor allocation to prepare the simulation workspace.
• Structural Distribution Analysis - Generates radial and angle distribution functions to analyze spatial organization of particles.
• System State Initialization - Creates atoms and molecules or loads configurations from external data and restart files.
• Thermodynamic Ensemble Control - Modifies atom movement via thermostats and barostats to maintain specific thermodynamic conditions.
• Thermodynamic Ensemble Regulation - Regulates temperature and pressure through thermostats and barostats to maintain specific thermodynamic ensembles.
• Thermodynamic Property Monitoring - Computes thermodynamic values and custom properties to track the evolution of the simulation over time.
• Ensemble Regulation - Maintains specific thermodynamic ensembles like NPT or NVT by regulating temperature and pressure.
• Thermodynamic State Management - Controls thermodynamic state through integrators and barostats to maintain constant temperature and pressure.
• Thermodynamic Property Calculation - Computes thermodynamic and structural properties for atoms across global and local domains.
• Transport Coefficient Calculation - Computes thermal conductivity, viscosity, and diffusion coefficients using simulation data.
• Script Control Flow - Executes complex simulation workflows and parameters using a dedicated input script command system.
• Simulation Engine Embedding - Integrates simulation capabilities into external compiled code using C, C++, Python, or Fortran interfaces.
• Computational Parallelization - Distributes simulation workloads across multiple processors using MPI, OpenMP, or GPU accelerators to handle large-scale systems.
• Hardware-Specific Execution Optimizers - Tunes execution for specific CPU instruction sets, including Intel-specific optimizations and concurrent Kspace calculations.
• Molecular Bond Manipulation - Manages the dynamic addition, removal, and swapping of chemical bonds and atoms.
• Physics Model Extensions - Implements custom physics models or commands by deriving new classes from parent frameworks.
• Simulation Plugin Frameworks - Creates modular extensions using base classes to add capabilities without modifying the core engine.
• Runtime Data Exchange - Sends data to specific target processors when the sender knows the destination but the receiver does not know the source.
• Embedded Scripting - Links the simulation engine with Python to enable advanced property queries and the use of machine learning models.
• Simulation Engine Bindings - Loads the simulation engine as a shared library into a Python interpreter for script-based control.
• Physics Solver Integrations - Connects to specialized external libraries like PLUMED, ScaFaCoS, and Quantum ESPRESSO for advanced simulations.
• Research Workflow Automation - Executes simulations and processes output using scripts or notebooks to manage research pipelines.
• Granular and Polarizable Materials - Implements complex physics models for granular materials and polarizable atoms.
• Complex Entity Simulation - Represents surface meshes or rigid collections of sub-particles as single simulated entities.
• Simulation Logic Extensions - Adds custom physics and output behaviors by implementing new styles for atoms and bonds.
• Simulation State Serialization - Provides mechanisms to save and restore the complete physical state for restarting simulations.
• Simulation Timestepping - Controls discrete time intervals and sub-stepping to ensure the numerical stability of the physics simulation.
• Physics Model Integrations - Accesses a wide range of interatomic potential models via the OpenKIM API for increased physical accuracy.
• Parallel Workload Distribution - Uses multi-threading via OpenMP to distribute workloads across multiple CPU cores on a single node.
• C++ Library Embedding - Exposes a programmable C++ library interface for embedding simulation capabilities into native applications.
• External Language Executors - Exposes APIs allowing multiple external programming languages to drive simulations and extend their functionality.
• Variable Substitutions - Replaces placeholders in input scripts with text or numeric formulas to parameterize simulations.
• Advanced Sampling Techniques - Executes advanced sampling techniques including parallel tempering and path-integral molecular dynamics.
• Non-Equilibrium Fluid Dynamics - Models non-equilibrium systems including sheared solids and complex fluid flows under external forces.
• Atomic Attribute Specifications - Specifies properties for each atom and determines how data is communicated across processors.
• Atomic Property Definitions - Allows the addition of individual attributes or custom data fields to atoms via files or scripts.
• Atomic Spatial Correlation Analysis - Calculates time-averaged quantities, histograms, and spatial correlations for atoms.
• Complex Particle Modeling - Models non-spherical particles and magnetic spins to represent diverse and complex physical systems.
• Fourier Transforms - Computes 1D and 3D Fast Fourier Transforms using various back-end libraries to accelerate k-space simulations.
• Dihedral Angle Potentials - Calculates the forces and energies associated with the dihedral angles of molecular structures.
• Dynamic Simulation Constraints - Implements fixes and computes to dynamically modify particle behavior and calculate diagnostic properties.
• Electrostatic Equilibration Solvers - Solves for the electrostatic charge distribution across the system using various equilibration methods.
• Energy Minimization Algorithms - Implements optimization styles to find minimum energy configurations without performing time-integration.
• External Field Application - Introduces additive forces, torques, and electric fields to simulate environmental constraints.
• Improper Torsion Potentials - Maintains correct molecular geometries by simulating improper torsion interactions between atoms.
• Interatomic Angle Potentials - Implements specialized potentials to simulate the energy and forces associated with angles between bonded atoms.
• Interatomic Bond Potentials - Provides harmonic and non-linear potentials to calculate forces between bonded atoms.
• Multi-Scale Physics Coupling - Couples simulation workflows with quantum codes or embedded Python scripts for extended functionality.
• Non-Spherical Particle Modeling - Supports the simulation of non-spherical particles like ellipsoids and rigid bodies.
• Parallel Grid Data Migration - Migrates grid cell data between processors during load-balancing to maintain persistence.
• Parallel Grid Data Serialization - Serializes grid cell data by coordinating packing from multiple processors into a single output file.
• Particle Motion Constraints - Restricts atom movement using rigid body constraints or harmonic forces to maintain structural stability.
• Poisson Equation Solvers - Maps particle charges to a decomposed 3D grid and uses Fast Fourier Transforms to compute electric fields in parallel.
• Potential Energy Minimization - Iteratively computes forces to find the lowest energy configuration of a molecular system.
• Ring Data Distribution - Passes data buffers sequentially through all processors in a periodic ring for examination or modification.
• Scientific Data Export Formats - Exports simulation data using HDF5, NetCDF, and VTK for compatibility with analysis tools.
• Simulation Batching - Enables the execution of multiple different simulation setups within a single input script.
• Simulation Dynamics Management - Governs how atoms move over time by controlling time integration and updating neighbor lists.
• Simulation Engine Libraries - Allows the core simulation functionality to be integrated into external software projects as a dependency.
• Simulation Geometry Manipulation - Deforms simulation boxes or relaxes boundaries to model physical strain and fluid flow.
• Time-Averaged Property Calculation - Computes time-averaged values of physical properties over specified intervals.
• Computational Style Extensions - Adds new atomic or computational styles to the core to implement custom physics.
• Plugin Extenders - Adds new capabilities to a running executable by loading dynamic shared object files.
• Language Bindings - Provides high-level language interfaces for external applications to programmatically control the simulation engine.
• Chemistry - Simulator for classical molecular dynamics and materials modeling.

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