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ml-mlip-nvalchemi - Run GPU-Batched MLIP Calculations

Provides optional experimental GPU-batched static prediction, structure relaxation, and molecular dynamics for supported MLIP models using NValchemi.

Tags

Updated: 2026-10-07

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Run batched static predictions
  • Run batched structure relaxation
  • Run batched molecular dynamics
  • Select NValchemi explicitly
  • Report execution backends
  • Fall back to sequential execution

Inputs

  • Structure collections
  • Supported MLIP models
  • Calculation parameters
  • NValchemi selection flag
  • GPU resources

Outputs

  • Static prediction results
  • Relaxed structures
  • Molecular dynamics trajectories
  • Backend status
  • Convergence status
  • Runtime log messages

Requirements

  • AtomisticSkills runtime
  • Compatible MLIP package
  • NValchemi toolkit for batch execution
  • GPU-compatible runtime for GPU batching

Source

  • Spec: SKILL.md

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machine-learning
MLIP
NValchemi
GPU computing
structure relaxation
molecular dynamics
Run batched static predictions
Run batched structure relaxation
Run batched molecular dynamics
Select NValchemi explicitly
Structure collections
Supported MLIP models
Calculation parameters
Static prediction results
Relaxed structures
Molecular dynamics trajectories