Skip to main content

aiidalab-qe-vibroscopy

Plugin to compute vibrational properties of materials via the aiida-vibroscopy AiiDA plugin

Installation

Once cloned the repository, cd into it and:

pip install --user .

If you want to easily set up phonopy, use the CLI of this package (inspect it via aiidalab-qe-vibroscopy --help):

pip install phonopy --user # if phonopy is not installed in your machine; it should be already installed as it is a dependency of the package.
aiidalab-qe-vibroscopy setup-phonopy # setup phonopy@localhost in AiiDA; this post-install command is automatically triggered if you install the plugin from the aiidalab-qe interface.

Specific details for arm64 architectures

Installation of scipy from conda is required

In case of arm64 architecture, please run aiidalab-qe-vibroscopy setup-phonopy. This will install the correct version of scipy to work with the package.

h5py issues

In case the installation of the aiidalab-qe-vibroscopy fails due to h5py installation problem, you may try to first install h5py by:

conda install h5py==3.11.0

this will install also the hdf5 library as dependency.

License

MIT

Contact

miki.bonacci@psi.ch andres.ortega-guerrero@empa.ch

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aiidalab_qe_vibroscopy-1.2.8.tar.gz (63.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aiidalab_qe_vibroscopy-1.2.8-py3-none-any.whl (84.2 kB view details)

Uploaded Python 3

File details

Details for the file aiidalab_qe_vibroscopy-1.2.8.tar.gz.

File metadata

  • Download URL: aiidalab_qe_vibroscopy-1.2.8.tar.gz
  • Upload date:
  • Size: 63.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.12.11

File hashes

Hashes for aiidalab_qe_vibroscopy-1.2.8.tar.gz
Algorithm Hash digest
SHA256 31b70d511f9d12775815f92ec42865c18a8f123974f6d8b45b0d681c0228e0a5
MD5 29c56fa85cb382ae83f12d0f56bc555a
BLAKE2b-256 0b3f8632d2bed7605a54ce56458fb0f49bf8c58df84e23e09db97f9b04079a13

See more details on using hashes here.

File details

Details for the file aiidalab_qe_vibroscopy-1.2.8-py3-none-any.whl.

File metadata

File hashes

Hashes for aiidalab_qe_vibroscopy-1.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 2b02becead0a109211a0a8e233e90c3e90e776d7a3c519d5270797ce87dca693
MD5 1282ac53418daf1b280533cc431ad6f4
BLAKE2b-256 777058a7516f276ccee6a8fc39fd874c68b1d94fd90dcaf03659d7d5a9add4de

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.2.8 This release

2 files

1.2.7

2 files

1.2.6

2 files

1.2.5

2 files

1.2.4

2 files

1.2.3

2 files

1.2.2

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page