%global _empty_manifest_terminate_build 0
Name:		python-acat
Version:	1.5.3
Release:	1
Summary:	Alloy Catalysis Automated Toolkit
License:	GNU Lesser General Public License v3 (LGPLv3)
URL:		https://gitlab.com/asm-dtu/acat
Source0:	https://mirrors.aliyun.com/pypi/web/packages/84/07/5e55becd93ccf6db7cfa81eb6a1fb8832e6b98ef665ed84b0a49533b4cd7/acat-1.5.3.tar.gz
BuildArch:	noarch


%description
# ACAT: **A**lloy **C**atalysis **A**utomated **T**oolkit
ACAT is a Python package for atomistic modelling of metal or alloy catalysts used in heterogeneous catalysis. The package is based on automatic identifications of adsorption sites and adsorbate coverages on surface slabs and nanoparticles. Synergizing with ASE, ACAT provides useful tools to build atomistic models and perform global optimization tasks for alloy surfaces and nanoparticles with and without adsorbates. The goal is to automate workflows for the high-throughput screening of alloy catalysts.

ACAT has been developed by Shuang Han at the Section of Atomic Scale Materials Modelling, Department of Energy Conversion and Storage, Technical University of Denmark (DTU) in Lyngby, Denmark.

To use ACAT, please read **[ACAT documentation](https://asm-dtu.gitlab.io/acat)** (and also [examples](examples/)). For all symmetry-inequivalent adsorption sites on the surfaces (and nanoparticles) supported in ACAT, please refer to the [table of adsorption sites](table_of_adsorption_sites.pdf).

![](images/acat_logo.png)

## Developers: 
Shuang Han (shuha@dtu.dk) - current maintainer

## Dependencies
* python>=3.6
* networkx>=2.4
* ase
* asap3 (strongly recommended but not required, since asap3 does not support Windows)

## Installation
Install via pip:

```pip3 install acat```

Alternatively, you can clone the repository:

```git clone https://gitlab.com/asm-dtu/acat.git```

then go to the installed path and install all dependencies:

```pip3 install -r requirements.txt```

Finally, install the main package:

```python3 setup.py install```
 
## Acknowledgements

I would like to highly appreciate the support from BIKE project, where fundings are received from the European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska-Curie Action – International Training Network (MSCA-ITN), grant agreement 813748.

<img src="images/eu_logo.png" width="250"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 
<img src="images/bike_logo.png" width="250">

I also want to thank Dr. Steen Lysgaard for the useful scripts and Dr. Giovanni Barcaro, Dr. Alessandro Fortunelli for the useful discussions.

## How to cite ACAT
If you find ACAT useful in your research, please cite the paper below. [This is a preprint](https://chemrxiv.org/engage/chemrxiv/article-details/62c8116b3be5f17b9a120c98)

    [1] S. Han, S. Lysgaard, T. Vegge & H. A. Hansen (submitted). 

If you use ACAT's modules related to symmetric nanoalloy, please also cite [this paper](https://doi.org/10.1038/s41524-022-00807-6):

    [2] S. Han, G. Barcaro, A. Fortunelli et al. Unfolding the structural stability of nanoalloys via 
    symmetry-constrained genetic algorithm and neural network potential. npj Comput. Mater. 8, 121 (2022).

## Known issues

1. **ACAT currently only support metal / alloy surface slabs and nanoparticles.** Therefore H, C, N, O, F, S and Cl atoms are treated as adsorbate molecules and metals are treated as catalyst by default. Please do not use ACAT for metal oxide catalysts.

2. Some functions distinguishes between nanoparticle and surface slabs based on periodic boundary condition (PBC). Therefore, before using the code, it is recommended (but not required) to **set all directions as non-periodic for nanoparticles and at least one direction periodic for surface slabs, and also add vacuum layers to all non-periodic directions. For periodic surface slabs the code will not work if the number of layers is less than 3 (which should be avoided anyways).** Each layer is by default considered to always have the same number of atoms as the surface atoms. For stepped surface slabs one layer will have atoms at different z coordinates. However, note that **there is no limitation to the size of the cell in the x and y directions.** ACAT is able to identify adsorption sites for even a 1x1x3 cell with only one surface atom.

3. ACAT uses a regularized adsorbate string representation. In each adsorbate string, **the first element must set to the bonded atom. If the adsorbate is multi-dentate, the order follows the order of their atomic numbers. Hydrogen should always follow the element that it bonds with.** For example, water should be written as 'OH2', hydrogen peroxide should be written as 'OHOH', ethanol should be written as 'CH3CH2OH', formyl should be written as 'CHO', hydroxymethylidyne should be written as 'COH'. If the string is not supported by the code, it will return the ``ase.build.molecule`` instead, which could result in a weird orientation. If the string is not supported by this code nor ASE, you can make your own molecules in the ``adsorbate_molecule`` function in ``acat.settings``. **Note that you can always operate on an adsorbate that is an ``ase.Atoms`` object, instead of using a string representation.**

4. There is a bug that causes ``get_neighbor_site_list()`` to not return the correct neighbor site indices with ASE version <= 3.18. This is most likely due to shuffling of indices in some ASE functions, which is solved after the release of ASE 3.19.0. 




%package -n python3-acat
Summary:	Alloy Catalysis Automated Toolkit
Provides:	python-acat
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-acat
# ACAT: **A**lloy **C**atalysis **A**utomated **T**oolkit
ACAT is a Python package for atomistic modelling of metal or alloy catalysts used in heterogeneous catalysis. The package is based on automatic identifications of adsorption sites and adsorbate coverages on surface slabs and nanoparticles. Synergizing with ASE, ACAT provides useful tools to build atomistic models and perform global optimization tasks for alloy surfaces and nanoparticles with and without adsorbates. The goal is to automate workflows for the high-throughput screening of alloy catalysts.

ACAT has been developed by Shuang Han at the Section of Atomic Scale Materials Modelling, Department of Energy Conversion and Storage, Technical University of Denmark (DTU) in Lyngby, Denmark.

To use ACAT, please read **[ACAT documentation](https://asm-dtu.gitlab.io/acat)** (and also [examples](examples/)). For all symmetry-inequivalent adsorption sites on the surfaces (and nanoparticles) supported in ACAT, please refer to the [table of adsorption sites](table_of_adsorption_sites.pdf).

![](images/acat_logo.png)

## Developers: 
Shuang Han (shuha@dtu.dk) - current maintainer

## Dependencies
* python>=3.6
* networkx>=2.4
* ase
* asap3 (strongly recommended but not required, since asap3 does not support Windows)

## Installation
Install via pip:

```pip3 install acat```

Alternatively, you can clone the repository:

```git clone https://gitlab.com/asm-dtu/acat.git```

then go to the installed path and install all dependencies:

```pip3 install -r requirements.txt```

Finally, install the main package:

```python3 setup.py install```
 
## Acknowledgements

I would like to highly appreciate the support from BIKE project, where fundings are received from the European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska-Curie Action – International Training Network (MSCA-ITN), grant agreement 813748.

<img src="images/eu_logo.png" width="250"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 
<img src="images/bike_logo.png" width="250">

I also want to thank Dr. Steen Lysgaard for the useful scripts and Dr. Giovanni Barcaro, Dr. Alessandro Fortunelli for the useful discussions.

## How to cite ACAT
If you find ACAT useful in your research, please cite the paper below. [This is a preprint](https://chemrxiv.org/engage/chemrxiv/article-details/62c8116b3be5f17b9a120c98)

    [1] S. Han, S. Lysgaard, T. Vegge & H. A. Hansen (submitted). 

If you use ACAT's modules related to symmetric nanoalloy, please also cite [this paper](https://doi.org/10.1038/s41524-022-00807-6):

    [2] S. Han, G. Barcaro, A. Fortunelli et al. Unfolding the structural stability of nanoalloys via 
    symmetry-constrained genetic algorithm and neural network potential. npj Comput. Mater. 8, 121 (2022).

## Known issues

1. **ACAT currently only support metal / alloy surface slabs and nanoparticles.** Therefore H, C, N, O, F, S and Cl atoms are treated as adsorbate molecules and metals are treated as catalyst by default. Please do not use ACAT for metal oxide catalysts.

2. Some functions distinguishes between nanoparticle and surface slabs based on periodic boundary condition (PBC). Therefore, before using the code, it is recommended (but not required) to **set all directions as non-periodic for nanoparticles and at least one direction periodic for surface slabs, and also add vacuum layers to all non-periodic directions. For periodic surface slabs the code will not work if the number of layers is less than 3 (which should be avoided anyways).** Each layer is by default considered to always have the same number of atoms as the surface atoms. For stepped surface slabs one layer will have atoms at different z coordinates. However, note that **there is no limitation to the size of the cell in the x and y directions.** ACAT is able to identify adsorption sites for even a 1x1x3 cell with only one surface atom.

3. ACAT uses a regularized adsorbate string representation. In each adsorbate string, **the first element must set to the bonded atom. If the adsorbate is multi-dentate, the order follows the order of their atomic numbers. Hydrogen should always follow the element that it bonds with.** For example, water should be written as 'OH2', hydrogen peroxide should be written as 'OHOH', ethanol should be written as 'CH3CH2OH', formyl should be written as 'CHO', hydroxymethylidyne should be written as 'COH'. If the string is not supported by the code, it will return the ``ase.build.molecule`` instead, which could result in a weird orientation. If the string is not supported by this code nor ASE, you can make your own molecules in the ``adsorbate_molecule`` function in ``acat.settings``. **Note that you can always operate on an adsorbate that is an ``ase.Atoms`` object, instead of using a string representation.**

4. There is a bug that causes ``get_neighbor_site_list()`` to not return the correct neighbor site indices with ASE version <= 3.18. This is most likely due to shuffling of indices in some ASE functions, which is solved after the release of ASE 3.19.0. 




%package help
Summary:	Development documents and examples for acat
Provides:	python3-acat-doc
%description help
# ACAT: **A**lloy **C**atalysis **A**utomated **T**oolkit
ACAT is a Python package for atomistic modelling of metal or alloy catalysts used in heterogeneous catalysis. The package is based on automatic identifications of adsorption sites and adsorbate coverages on surface slabs and nanoparticles. Synergizing with ASE, ACAT provides useful tools to build atomistic models and perform global optimization tasks for alloy surfaces and nanoparticles with and without adsorbates. The goal is to automate workflows for the high-throughput screening of alloy catalysts.

ACAT has been developed by Shuang Han at the Section of Atomic Scale Materials Modelling, Department of Energy Conversion and Storage, Technical University of Denmark (DTU) in Lyngby, Denmark.

To use ACAT, please read **[ACAT documentation](https://asm-dtu.gitlab.io/acat)** (and also [examples](examples/)). For all symmetry-inequivalent adsorption sites on the surfaces (and nanoparticles) supported in ACAT, please refer to the [table of adsorption sites](table_of_adsorption_sites.pdf).

![](images/acat_logo.png)

## Developers: 
Shuang Han (shuha@dtu.dk) - current maintainer

## Dependencies
* python>=3.6
* networkx>=2.4
* ase
* asap3 (strongly recommended but not required, since asap3 does not support Windows)

## Installation
Install via pip:

```pip3 install acat```

Alternatively, you can clone the repository:

```git clone https://gitlab.com/asm-dtu/acat.git```

then go to the installed path and install all dependencies:

```pip3 install -r requirements.txt```

Finally, install the main package:

```python3 setup.py install```
 
## Acknowledgements

I would like to highly appreciate the support from BIKE project, where fundings are received from the European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska-Curie Action – International Training Network (MSCA-ITN), grant agreement 813748.

<img src="images/eu_logo.png" width="250"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 
<img src="images/bike_logo.png" width="250">

I also want to thank Dr. Steen Lysgaard for the useful scripts and Dr. Giovanni Barcaro, Dr. Alessandro Fortunelli for the useful discussions.

## How to cite ACAT
If you find ACAT useful in your research, please cite the paper below. [This is a preprint](https://chemrxiv.org/engage/chemrxiv/article-details/62c8116b3be5f17b9a120c98)

    [1] S. Han, S. Lysgaard, T. Vegge & H. A. Hansen (submitted). 

If you use ACAT's modules related to symmetric nanoalloy, please also cite [this paper](https://doi.org/10.1038/s41524-022-00807-6):

    [2] S. Han, G. Barcaro, A. Fortunelli et al. Unfolding the structural stability of nanoalloys via 
    symmetry-constrained genetic algorithm and neural network potential. npj Comput. Mater. 8, 121 (2022).

## Known issues

1. **ACAT currently only support metal / alloy surface slabs and nanoparticles.** Therefore H, C, N, O, F, S and Cl atoms are treated as adsorbate molecules and metals are treated as catalyst by default. Please do not use ACAT for metal oxide catalysts.

2. Some functions distinguishes between nanoparticle and surface slabs based on periodic boundary condition (PBC). Therefore, before using the code, it is recommended (but not required) to **set all directions as non-periodic for nanoparticles and at least one direction periodic for surface slabs, and also add vacuum layers to all non-periodic directions. For periodic surface slabs the code will not work if the number of layers is less than 3 (which should be avoided anyways).** Each layer is by default considered to always have the same number of atoms as the surface atoms. For stepped surface slabs one layer will have atoms at different z coordinates. However, note that **there is no limitation to the size of the cell in the x and y directions.** ACAT is able to identify adsorption sites for even a 1x1x3 cell with only one surface atom.

3. ACAT uses a regularized adsorbate string representation. In each adsorbate string, **the first element must set to the bonded atom. If the adsorbate is multi-dentate, the order follows the order of their atomic numbers. Hydrogen should always follow the element that it bonds with.** For example, water should be written as 'OH2', hydrogen peroxide should be written as 'OHOH', ethanol should be written as 'CH3CH2OH', formyl should be written as 'CHO', hydroxymethylidyne should be written as 'COH'. If the string is not supported by the code, it will return the ``ase.build.molecule`` instead, which could result in a weird orientation. If the string is not supported by this code nor ASE, you can make your own molecules in the ``adsorbate_molecule`` function in ``acat.settings``. **Note that you can always operate on an adsorbate that is an ``ase.Atoms`` object, instead of using a string representation.**

4. There is a bug that causes ``get_neighbor_site_list()`` to not return the correct neighbor site indices with ASE version <= 3.18. This is most likely due to shuffling of indices in some ASE functions, which is solved after the release of ASE 3.19.0. 




%prep
%autosetup -n acat-1.5.3

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-acat -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5.3-1
- Package Spec generated