LIGGGHTS
v4.X
  • 1. Introduction
    • 1.1. What is LIGGGHTS(R)-INL
    • 1.2. LIGGGHTS-PUBLIC VS. LIGGGHTS-PREMIUM
    • 1.3. History
    • 1.4. LIGGGHTS(R)-INL features
    • 1.5. LIGGGHTS(R)-INL General features
    • 1.6. LIGGGHTS(R)-INL Model features: LIGGGHTS-PUBLIC features
    • 1.7. LIGGGHTS(R)-INL Model features: Additional features for LIGGGHTS(R)-INL
    • 1.8. Open source distribution
    • 1.9. Acknowledgments and citations
  • 2. Getting Started
    • 2.1. How to obtain LIGGGHTS(R)-INL
    • 2.2. Making LIGGGHTS(R)-INL
      • 2.2.1. Read this first:
      • 2.2.2. Steps to build a LIGGGHTS(R)-INL executable:
      • 2.2.3. Advanced building using custom makefiles
      • 2.2.4. Errors that can occur when making LIGGGHTS(R)-INL:
      • 2.2.5. Additional build tips:
      • 2.2.6. Building for a Mac:
      • 2.2.7. Building for Windows:
    • 2.3. Making LIGGGHTS(R)-INL with optional packages
    • 2.4. Building LIGGGHTS(R)-INL via the Make.py script
    • 2.5. Building LIGGGHTS(R)-INL as a library
      • 2.5.1. Static library:
      • 2.5.2. Shared library:
      • 2.5.3. Additional requirement for using a shared library:
      • 2.5.4. Calling the LIGGGHTS(R)-INL library:
    • 2.6. Running LIGGGHTS(R)-INL
    • 2.7. Command-line options
    • 2.8. LIGGGHTS(R)-INL screen output
  • 3. Input Script
    • 3.1. LIGGGHTS(R)-INL input script
    • 3.2. Parsing rules
    • 3.3. Input script structure
    • 3.4. An example input script
  • 4. Commands
    • 4.1. List of all commands
    • 4.2. bond_style potentials
    • 4.3. compute styles
    • 4.4. dump styles
    • 4.5. fix styles
    • 4.6. pair_style potentials
  • 5. Contact models
    • 5.1. cohesion commands
    • 5.2. model commands
    • 5.3. rolling_friction commands
    • 5.4. surface commands
    • 5.5. tangential commands
  • 6. Mesh modules
    • 6.1. module commands
  • 7. Packages
  • 8. How-to discussions
    • 8.1. Restarting a simulation
    • 8.2. 2d simulations
    • 8.3. Running multiple simulations from one input script
    • 8.4. Granular models
    • 8.5. Coupling LIGGGHTS(R)-INL to other codes
    • 8.6. Visualizing LIGGGHTS(R)-INL snapshots
    • 8.7. Triclinic (non-orthogonal) simulation boxes
    • 8.8. Output from LIGGGHTS(R)-INL (thermo, dumps, computes, fixes, variables)
      • 8.8.1. Global/per-atom/local data
      • 8.8.2. Scalar/vector/array data
      • 8.8.3. Thermodynamic output
      • 8.8.4. Dump file output
      • 8.8.5. Fixes that write output files
      • 8.8.6. Computes that process output quantities
      • 8.8.7. Fixes that process output quantities
      • 8.8.8. Computes that generate values to output
      • 8.8.9. Fixes that generate values to output
      • 8.8.10. Variables that generate values to output
      • 8.8.11. Summary table of output options and data flow between commands
    • 8.9. Walls
    • 8.10. Library interface to LIGGGHTS(R)-INL
  • 9. Modifying & extending LIGGGHTS(R)-INL
    • 9.1. Atom styles
    • 9.2. Compute styles
    • 9.3. Dump styles
    • 9.4. Dump custom output options
    • 9.5. Fix styles
    • 9.6. Input script commands
    • 9.7. Pairwise potentials
    • 9.8. Region styles
    • 9.9. Thermodynamic output options
    • 9.10. Variable options
    • 9.11. Submitting new features for inclusion in LIGGGHTS(R)-INL
  • 10. Python interface to LIGGGHTS(R)-INL
    • 10.1. Building LIGGGHTS(R)-INL as a shared library
    • 10.2. Installing the Python wrapper into Python
    • 10.3. Extending Python with MPI to run in parallel
    • 10.4. Testing the Python-LIGGGHTS(R)-INL interface
      • 10.4.1. Test LIGGGHTS(R)-INL and Python in serial:
      • 10.4.2. Test LIGGGHTS(R)-INL and Python in parallel:
      • 10.4.3. Running Python scripts:
    • 10.5. Using LIGGGHTS(R)-INL from Python
    • 10.6. Example Python scripts that use LIGGGHTS(R)-INL
  • 11. Errors
    • 11.1. Common problems
    • 11.2. Reporting bugs
    • 11.3. Error & warning messages
    • 11.4. Errors:
    • 11.5. Warnings:
LIGGGHTS
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