CPPE is an open-source, light-weight C++ and Python library for Polarizable Embedding (PE)1,2 calculations. It provides an easy-to-use API to implement PE for ground-state self-consistent field (SCF) calculations and post-SCF methods. A convenient Python interface is also available.
CPPE enables PE calculations in the following programs:
Linear scaling electric field computations in CPPE are achieved through autogenerated code
by the fmmgen library.3
Examples for the open-source Python-driven programs can be found here.
Installation
Conda
The easiest way to install CPPE is via conda:
conda install cppe -c conda-forge
Build from Source
Manual builds can be done using CMake by running
git clone https://github.com/maxscheurer/cppe
cd cppe; mkdir build; cd build
cmake ..
make
pip
Another way to install CPPE is via pip:
pip install cppe
If no wheel is available for your platform, CPPE is built from source and a C++14 compatible compiler is required (see below).
To build from a local checkout:
git clone https://github.com/maxscheurer/cppe
cd cppe
python -m pip install .
Python interface
If the Python interface should be built, specify the CMake option
-DENABLE_PYTHON_INTERFACE=ON. If pybind11 is not installed, CMake
will automatically download pybind11 and install it locally.
Installing through pip will build the Python interface.
Dependencies
- C++ 14 compiler
- Python >= 3.8 (interpreter and development packages)
Tests
The tests can be run with
python -m pip install -e .[test]
pytest
Citation
| Papers: | |
|---|---|
| Code: |
CPPE: An Open-Source C++ and Python Library for Polarizable Embedding
Maximilian Scheurer, Peter Reinholdt, Erik Rosendahl Kjellgren, Jógvan Magnus Haugaard Olsen, Andreas Dreuw, and Jacob Kongsted;
Journal of Chemical Theory and Computation 2019 15 (11), 6154-6163,
DOI: 10.1021/acs.jctc.9b00758
If you use the linear-scaling FMM implementation, please also cite:
Efficient Open-Source Implementations of Linear-Scaling Polarizable Embedding: Use Octrees to Save the Trees
Maximilian Scheurer, Peter Reinholdt, Jógvan Magnus Haugaard Olsen, Andreas Dreuw, and Jacob Kongsted;
Journal of Chemical Theory and Computation 2021,
DOI: 10.1021/acs.jctc.1c00225
Literature
1 Olsen, J. M. H.; Aidas, K.; Kongsted, J. (2010). Excited States in Solution through Polarizable Embedding. J. Chem. Theory Comput., 6 (12), 3721–3734. https://doi.org/10.1021/ct1003803
2 Olsen, J. M. H.; Kongsted, J. (2011). Molecular Properties through Polarizable Embedding. Advances in Quantum Chemistry (Vol. 61). https://doi.org/10.1016/B978-0-12-386013-2.00003-6
3 Pepper, R.; Fangohr, H. (2020). fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods. arXiv:2005.12351
Metadata
Release files for cppe 0.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cppe-0.3.4.tar.gz | 5.9 MB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| cppe-0.3.4-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details |
| cppe-0.3.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.13 | CPython 3.13 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| cppe-0.3.4-cp313-cp313-macosx_11_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 11.0+ ARM64 | Details |
| cppe-0.3.4-cp313-cp313-macosx_10_13_x86_64.whl | CPython 3.13 | CPython 3.13 | macOS 10.13+ x86-64 | Details |
| cppe-0.3.4-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| cppe-0.3.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| cppe-0.3.4-cp312-cp312-macosx_11_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 11.0+ ARM64 | Details |
| cppe-0.3.4-cp312-cp312-macosx_10_13_x86_64.whl | CPython 3.12 | CPython 3.12 | macOS 10.13+ x86-64 | Details |
| cppe-0.3.4-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
| cppe-0.3.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| cppe-0.3.4-cp311-cp311-macosx_11_0_arm64.whl | CPython 3.11 | CPython 3.11 | macOS 11.0+ ARM64 | Details |
| cppe-0.3.4-cp311-cp311-macosx_10_9_x86_64.whl | CPython 3.11 | CPython 3.11 | macOS 10.9+ x86-64 | Details |
| cppe-0.3.4-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
| cppe-0.3.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| cppe-0.3.4-cp310-cp310-macosx_11_0_arm64.whl | CPython 3.10 | CPython 3.10 | macOS 11.0+ ARM64 | Details |
| cppe-0.3.4-cp310-cp310-macosx_10_9_x86_64.whl | CPython 3.10 | CPython 3.10 | macOS 10.9+ x86-64 | Details |
Total release size: 47.6 MB
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / cppe-0.3.4-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | cppe-0.3.4-cp310-cp310-macosx_10_9_x86_64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.10 macOS 10.9+ x86-64 |
|
SHA-256 checksum How to use checksums |
daba27e70f4004f8153b96c9a68a2c533d9c681934dad168e02c9a99c759a649
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BLAKE2b-256 checksum How to use checksums |
a1a9e4575e38067961525e01bf444e6931243d8a6dcd4599ab27dd6f19bc3cda
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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