mat-lammps-md

Official

Run LAMMPS MLIP MD without stack conflicts

Authorlearningmatter-mit
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill prevents brittle, conflict-prone setup when running GPU-accelerated LAMMPS molecular dynamics using MLIP backends (MACE, MatGL/CHGNet, FairChem), by enforcing isolated build/runtime environments per backend.

Core Features & Use Cases

  • MLIP-isolated LAMMPS binaries: builds a backend-matched lmp executable using an isolated conda environment to avoid Python/Torch/stack conflicts.
  • GPU/Kokkos compatibility: detects GPU compute capability and selects the correct KOKKOS_ARCH_* flag for stable GPU performance.
  • Backend-correct execution: ensures strict binary–environment pairing so you never cross-run MACE/MatGL/FairChem binaries in the wrong runtime env.
  • Use case: run a repeatable melt-quench MD protocol (via the provided MACE example) or perform an MLIP-based adsorption/scan study using the backend-specific workflow and outputs.

Quick Start

Run a backend-matched LAMMPS MLIP molecular dynamics build by selecting the MLIP backend from the foundation-potential guide, building the corresponding isolated LAMMPS binary with the matching Kokkos arch flag, and then running that same binary inside its matching conda environment.

Dependency Matrix

Required Modules

None required

Components

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Name: mat-lammps-md
Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#mat-lammps-md

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