amcess2024 0.1.2a20

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amcess2024 0.1.2a20

Atomic and Molecular Cluster Energy Surface Sampler (AMCESS)

Exploration of the Potential Energy Surface (PES) of molecular or atomic clusters is
a crucial step in analyzing physical–chemistry properties and processes. The Atomic and
Molecular Energy Surface Sampler (AMCESS) is an end-to-end package implemented
in Python 3.9 to generate candidate structures for the critical points sampling of the
PES. The amcess main purpose is to be a
user-friendly package, easy to install, import, and run, available on most platforms and
open-source. As a Python module, amcess can be integrated into any workflow. This
package has code reviews with unit testing and continuous integration, code coverage
tools, and automatically keeps documentation up–to–date.




Molecular cluster of ibuprofen and six water molecules
[doi: 10.1063/1.4874258]



Description
The amcess package uses simple input files and automates common procedures to explore the PES using the Simulated Annealing, Simplicial Homology Global Optimization (SHGO), and Bayesian Optimization to generate candidate structures for any kind of critical points, such as local minima or transition states. The package also allows the user to perform local searches around defined regions. The PES is generated by computing the electronic energy using standard and powerful quantum chemistry packages such as PySCF and Psi4, also implemented in Python.
Read more about the project in the documentation.
Technical Documentation
Technical documents behind this project can be accessed here.
Requirements
First, you should install the required Python packages
attrs>=23.2.0
scipy>=1.12.0
numpy==1.23.1
pyscf>=2.5.0
h5py>=3.1.0
pyberny>=0.6.3
geomeTRIC>=0.9.7.2
GPyOpt>=1.2.6
pyDOE>=0.3.8
matplotlib>=3.8.3
matplotlib-inline>=0.1.6

To use Jupyter Notebook
py3Dmol>=2.0.4
notebook>=6.5.6
notebook_shim>=0.2.4
jupyter>=1.0.0
ipykernel>=6.29.3
rise>=5.7.1

check the file requirements.txt. For developers, you should install requirements_dev.txt.
Installation
AMCESS is a Python 3.9 package


Install virtual environment:
python -m venv <VirtualEnvName>


Activate virtual environment:
source <VirtualEnvName>/bin/activate`


Install the packages:


after cloning this repository
pip install .


or directly from PyPI
pip install amcess




Run AMCESS (check some examples below). Additionally, you can install requirements.txt to use Jupyter notebooks.


For developers,


install dependencies:
pip install -r requirements.txt -r requirements_dev.txt


Run all test:
tox


Usage
A detailed workflow is provided in the workflow directory. It has a list of Jupyter notebooks with detailed examples of AMCESS tools and capabilities.
Workflow (Binder):

Getting started with atoms and molecules properties.

01_importing_atoms_and_molecules.ipynb


Translating and rotating atoms and molecules.

02_move_rotate_molecules.ipynb


Moving Molecules randomly from a Cluster.

03_move_rotate_cluster.ipynb


Freezing any molecule and redefining its sphere center.

04_freeze_molecule_redefine_center.ipynb


Initialize a cluster avoiding atomic overlapping

05_initialize_cluster_and_move_molecule.ipynb



Roadmap
Some of the ideas to keep growing are:

Integration with RDKit (multiple format input)
Results: geometrical analysis (clustering, k-nearest, k-means, etc.)

Contributing
The easiest way to get help with the project is to join the #amcess
channel on Discord.
We hang out there and you can get real-time help with your projects.


GitHub: https://github.com/e-florez/amcess/issues


Discord: https://discord.gg/vxQQCjpg


License
GNU General Public License v3 (GLPv3)
Authors and Acknowledgment
Main authors: Alejandra Mendez, Juan Jose Aucar, Daniel Bajac, César Ibargüen, Andy Zapata, Edison Florez ([email protected])
Project Status
Under development

ASCEC (FORTRAN 77 version)
A previous version of AMCESS, called ASCEC [1] (Spanish acronym
Annealing Simulado con Energía Cuántica) was written in FORTRAN77 and
was successfully used in a wide range of research and academic applications.
From atomic cluster to molecular cluster, the ASCEC package has produced
novel results (structure never seen before) published in the literature. Read more on ASCEC publications.
You could check the directory ASCECV3
ASCECV3/
|---papers/
|---p_ascec/
|---examples/
|---adf
|---dalton
|---g03
|---gamess
|---nwchem

References

[1]
J Pérez and A Restrepo. Ascec v–02: annealing simulado con energía cuántica. Property, development and implementation: Grupo de Química–Física Teórica, Instituto de Química, Universidad de Antioquia: Medellín, Colombia, 2008.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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