Graph Machine Learning
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---
license: apache-2.0
pipeline_tag: graph-ml
---

# Model Card for Model ID

This repository contains the FlashMD universal models. These are models designed to run accelerated molecular dynamics for chemical systems across the periodic table.

## Model Details

These models offer acceleration with respect to traditional molecular dynamics by allowing the use of larger steps. Each FlashMD model follows the following naming
convention: `flashmd_{mlip}_{timestep}fs.ckpt`, where "mlip" is the name of the MLIP (machine-learned interatomic potential) that was used to generate the training
trajectories for the FlashMD model, and {timestep} is the FlashMD timestep in fs. The corresponding MLIP is also made available as `mlip_{mlip}.ckpt`.

At the moment, we have:

- mlip = "pet-omatpes" (with timestep={1,2,4,8,16,32,64,128}): these are FlashMD models trained on the PET-OMATPES MLIP, and therefore allowing to run FlashMD at the
  r2SCAN level of theory
- earlier models used in the reference paper ("flashmd_{timestep}fs.pt", with timestep={1,4,8,16,32,64}), only supported by `flashmd<=0.1.2` and useful to reproduce
  older results. These are trained on the PET-MAD MLIP and therefore reproduce molecular dynamics at the PBEsol level of theory


### Model Sources

- **Repository:** https://github.com/lab-cosmo/flashmd
- **Paper:** https://arxiv.org/abs/2505.19350
- **Demo:** https://atomistic-cookbook.org/examples/flashmd/flashmd-demo.html

## How to use

These models are supposed to be used with the flashmd package, which is available on PyPI (`pip install flashmd`).