Contents Menu Expand Light mode Dark mode Auto light/dark, in light mode Auto light/dark, in dark mode Skip to content
metatrain 2025.11.dev31+g0c2503e88 documentation
Light Logo Dark Logo
  • Getting started
    • Installation
    • Quickstart
    • Shell Completion
    • Basic Usage
    • Customize a Dataset Configuration
    • Advanced Base Configuration
    • Override Architecture’s Default Parameters
    • Restarting and Checkpoints
    • Finetuning example
    • Units
  • Available Architectures
    • GAP
    • LLPR
    • NanoPET (deprecated)
    • PET
    • SOAP-BPNN
  • Tutorials
    • Beginner Tutorials
      • How to prepare data for training
      • Fine-tuning
      • Running molecular dynamics with ASE
      • Training a model from scratch
    • Advanced Tutorials
      • Transfer Learning (experimental)
      • Computing LLPR uncertainties
      • Training a model with ZBL corrections
      • Fitting generic targets
  • Advanced concepts
    • Output naming
    • Loss functions
    • Auxiliary outputs
    • Multi-GPU training
  • Developer documentation
    • Contributing
    • Life Cycle of an Architecture
    • Adding a new architecture
    • Dataset Information
    • Adding a new loss function
    • CLI API
      • Train
      • Eval
      • Export
      • Formatter
    • Utility API
      • Additive models
        • Removing additive contributions
        • Composition model
        • ZBL short-range potential
      • Data
        • Combining dataloaders
        • Dataset
        • Reading a dataset
        • Readers
        • Target data Writers
        • Converting Systems to ASE
      • Architectures
      • Augmentation
      • Device
      • Dtype
      • Errors
      • Evaluating a model
      • External Naming
      • IO
      • Jsonschema
      • Logging
      • Long-range
      • Loss
      • Metrics
      • Neighbor lists
      • Custom omegaconf functions
      • Output gradient
      • Averaging predictions per atom
      • Scaler
      • Summing over atoms
      • Data type and device transfers
      • Unit handling
    • Changelog
  • Citing Metatrain
Back to top
View this page

Tutorials¶

This sections includes all tutorials on the usage of the metatrain package. There are beginner tutorials to help you get started and advanced tutorials for more complex applications and workflows.

  • Beginner Tutorials
    • How to prepare data for training
    • Fine-tuning
    • Running molecular dynamics with ASE
    • Training a model from scratch
  • Advanced Tutorials
    • Transfer Learning (experimental)
    • Computing LLPR uncertainties
    • Training a model with ZBL corrections
    • Fitting generic targets
Next
Beginner Tutorials
Previous
SOAP-BPNN
Copyright © 2025, metatrain developers
Made with Sphinx and @pradyunsg's Furo