Skip to main content

hiPhive is a tool for efficiently extracting high-order force constants from atomistic simulations, most commonly density functional theory calculations. A detailed description of the functionality provided as well as an extensive tutorial can be found in the user guide. Complete examples of using hiphive for force constants extaction can be found at hiphive examples.

hiPhive is written in Python, which allows easy integration with countless first-principles codes and analysis tools accessible in Python, and allows for a simple and intuitive user interface. For example using the following snippet one can train a force constant potential:

cs = ClusterSpace(primitive_cell, cutoffs)
sc = StructureContainer(cs, list_of_training_structure)
opt = Optimizer(sc.get_fit_data())
opt.train()
fcp = ForceConstantPotential(cs, opt.parameters)

after wich it can be used in various ways, e.g., for generating phonon dispersions, computing phonon lifetimes, or running molecular dynamics simulations.

Installation

hiPhive can be installed via pip:

pip3 install hiphive

If you want to get the absolutely latest (development) version you can clone the repo and then install hiPhive via:

git clone git@gitlab.com:materials-modeling/hiphive.git
cd hiphive
python3 setup.py install --user

hiPhive requires Python3 and invokes functionality from several external libraries including the atomic simulation environment, spglib and SymPy. Please note that the dependency on scikit-learn is not enforced during installation via pip. Please consult the installation section of the user guide for details.

Credits

  • Fredrik Eriksson

  • Erik Fransson

  • Paul Erhart

hiPhive has been developed at Chalmers University of Technology in Gothenburg, Sweden, in the Materials and Surface Theory division at the Department of Physics.

When using hiphive in your research please cite the following paper:

Fredrik Eriksson, Erik Fransson, and Paul Erhart
The Hiphive Package for the Extraction of High‐Order Force Constants by Machine Learning
Adv. Theory. Sim., 1800184 (2019)

Also consult the Credits page of the documentation for additional references.

hiphive and its development are hosted on gitlab. Bugs and feature requests are ideally submitted via the gitlab issue tracker. The development team can also be reached by email via hiphive@materialsmodeling.org.

Metadata

Release files for hiPhive 0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hiPhive 0.7
File Size Uploaded
hiphive-0.7.tar.gz 82.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for hiPhive 0.7
File Interpreter ABI Platform
hiphive-0.7-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 187.1 kB

Release files / hiphive-0.7.tar.gz

Download URL hiphive-0.7.tar.gz
Size 82.0 kB
Tags Source
SHA-256 checksum
How to use checksums
5c8f92ae85195d00afdece5a121dda99fad9cdd66eac1b9d28f26bdeabf167e3
BLAKE2b-256 checksum
How to use checksums
1d0e227b66cfba7add1a4b21a689eebdf74060d2b8117acc15054c9ea8655a35
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.7.5

Release files / hiphive-0.7-py2.py3-none-any.whl

Download URL hiphive-0.7-py2.py3-none-any.whl
Size 105.1 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
5a34db61ff858f2a4e36596d6a920c2237142f9b398ccceb00fc3a8a6269f8ab
BLAKE2b-256 checksum
How to use checksums
ae78bd0d5cadd7238bc7ea6a09f95da7254615f5757124b9b4c5d11fc52be0fc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/41.1.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.7.5

Release history Release notifications | RSS feed

1.5

2 release files

1.4

1 release file

1.3.1

2 release files

1.2

1 release file

1.1

1 release file

1.0

1 release file

0.7.1

2 release files

This release

0.7 This release

2 release files

0.6

2 release files

0.5

3 release files

0.4.1

2 release files

0.4

2 release files

0.3

2 release files

0.2

2 release files

0.1.4

2 release 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