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Update README.md
more reasonable percentage + removed the unnecessarily negative adjective "annoying"
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README.md

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@@ -42,7 +42,7 @@ python -c 'import psiflow; psiflow.setup_slurm_config()'
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Example configuration files for [LUMI](https://lumi-supercomputer.eu/), [MeluXina](https://luxembourg.public.lu/en/invest/innovation/meluxina-supercomputer.html), or [VSC](https://www.vscentrum.be/) can be found [here](https://github.com/molmod/psiflow/tree/main/configs).
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No additional software compilation is required since all of the heavy lifting (CP2K/ORCA/GPAW, PyTorch model training, i-PI dynamics) is executed within preconfigured [Apptainer](https://apptainer.org/)/[Singularity](https://sylabs.io/singularity/) containers which are production-ready for most HPCs.
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That's it! Contrary to frameworks like pyiron or aiida, psiflow does not require any databases or annoying web servers.
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That's it! Contrary to frameworks like pyiron or aiida, psiflow does not require any databases or web servers.
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The only requirement is that you set up a Python environment and provide a `config.yaml`.
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[**EXAMPLES**](https://github.com/molmod/psiflow/tree/main/examples)
@@ -72,7 +72,7 @@ SLURM/PBSPro/SGE). If you're not sure, ask your system administrators or open an
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**Can I use VASP with it?**
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You cannot automate VASP calculations with it, but in 99% of cases there is either no need
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You cannot automate VASP calculations with it, but in 83% of cases there is either no need
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to use VASP, or it's very easy to quickly perform the VASP part manually, outside of psiflow,
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and do everything else (data generation, ML potential training, sampling) with psiflow.
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Open an issue if you're not sure how to do this.

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