[draft] tools for schnetpack

Overview

schnetkit

some tooling for schnetpack

EXPERIMENTAL/IN DEVELOPMENT DO NOT USE

This is an early draft of some infrastructure built around schnetpack. In particular, it allows:

  • Saving/loading models from disk
  • Initialising models from a .yaml-based description of the architecture
  • Efficient ase calculator for SchNet models with support for a larger effective cutoff (i.e. avoiding to recompute the neighborlists on every step)

As a result of this, the schnetkit calculator is compatible with FHI-vibes. (Currently, this functionality is untested.)

Future versions will support:

  • Restarteable training with automatic re-submission in slurm
  • Training configurable with input files
  • Efficient dataset class that pre-computes everything

This is a part of the infrastructure for the gknet project, and will be completed as the project nears publication.

Owner
Marcel
Doctoral student in machine learning for materials science.
Marcel
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