A tool for calculating distortion parameters in coordination complexes.

Overview

Python version PyPI-Server Python Wheel Code size Repo size License

Github Download All releases Github Download Latest version Platform

OctaDist

Octahedral distortion calculator: A tool for calculating distortion parameters in coordination complexes. https://octadist.github.io/

molecule

Register for OctaDist

To get notified when we release new version of OctaDist, please register at https://cutt.ly/regis-octadist.

OctaDist Forum

The users can post questions in our Google Groups: OctaDist Forum

Standard abilities

OctaDist is computer software for inorganic chemistry and crystallography program. OctaDist can be used for studying the structural distortion in coordination complexes. With the abilities of OctaDist, you can:

  • analyze the structure and conformation of coordination complexes.
  • compute the octahedral distortion parameters.
  • explore tilting distortion in perovskite and metal-organic framework.
  • display 3D molecule for graphical analysis.
  • implement OctaDist's module into your or other program.
  • access the program core directly via an interactive scripting language.

Development and Release

OctaDist is written entirely in Python 3 binding to Tkinter GUI toolkit. It is cross-platform program which can work on multiple operating systems. The stable version and development build of OctaDist are released at here. A standalone executable for graphical user interface (GUI) and source code for command line interface (CLI) are available for as follows:

Platform Description Status
Windows windows Travis-CI Test
Linux latest-release Travis-CI Test
macOS latest-release Travis-CI Test
PyPI library PyPI-Server Travis-CI Test
Anaconda cloud Conda-Server Travis-CI Test
Nightly build Development build Travis-CI Test

Branch:

  1. master
  2. nightly-build

Git Clone

git clone https://github.com/OctaDist/OctaDist.git
git checkout nightly-build
git pull origin nightly-build

Documents

User manual : https://octadist.github.io/manual.html.

Reference manual :

Version Status Docs
Stable Doc-Latest-Badge HTML / PDF / Epub
Dev Build Doc-Nightly-Badge HTML / PDF / Epub

Download and Install

For Windows users, we strongly suggest a standalone executable:

Click Here to Download OctaDist-3.0.0-Win-x86-64.exe

For Linux or macOS users and already have Python 3 installed on the system, the easiest way to install OctaDist is to use pip.

pip install octadist

or use conda for those who have Anaconda:

conda install -c rangsiman octadist

Starting OctaDist

The following commands can be used to start OctaDist in different ways:

Graphical User Interface (GUI)

To start GUI program:

octadist

Screenshots of program:

OctaDist GUI XYZ coordinates Computed distortion parameters

Command Line Interface (CLI)

To start program command line:

octadist_cli

To calculate distortion parameters:

octadist_cli --inp EXAMPLE_INPUT.xyz

To calculate distortion parameters and show formatted output:

octadist_cli --inp EXAMPLE_INPUT.xyz --out

Supporting input format

Running the tests

Example 1: OctaDist as a package

import octadist as oc

# Prepare list of atomic coordinates of octahedral structure:

atom = ['Fe', 'O', 'O', 'N', 'N', 'N', 'N']

coord = [[2.298354000, 5.161785000, 7.971898000],  # <- Metal atom
         [1.885657000, 4.804777000, 6.183726000],
         [1.747515000, 6.960963000, 7.932784000],
         [4.094380000, 5.807257000, 7.588689000],
         [0.539005000, 4.482809000, 8.460004000],
         [2.812425000, 3.266553000, 8.131637000],
         [2.886404000, 5.392925000, 9.848966000]]

dist = oc.CalcDistortion(coord)
zeta = dist.zeta             # 0.228072561
delta = dist.delta           # 0.000476251
sigma = dist.sigma           # 47.92652837
theta = dist.theta           # 122.6889727

Example 2: Display 3D structure of molecule

import os
import octadist as oc

dir_path = os.path.dirname(os.path.realpath(__file__))
input_folder = os.path.join(dir_path, "../example-input/")
file = input_folder + "Multiple-metals.xyz"

atom_full, coord_full = oc.io.extract_coord(file)

my_plot = oc.draw.DrawComplex_Matplotlib(atom=atom_full, coord=coord_full)
my_plot.add_atom()
my_plot.add_bond()
my_plot.add_legend()
my_plot.save_img()
my_plot.show_plot()

# Figure will be saved as Complex_saved_by_OctaDist.png by default.

molecule

Other example scripts and octahedral complexes are available at example-py and example-input, respectively.

Citation

Please cite this project when you use OctaDist for scientific publication.

Ketkaew, R.; Tantirungrotechai, Y.; Harding, P.; Chastanet, G.; Guionneau, P.; Marchivie, M.; Harding, D. J. 
OctaDist: A Tool for Calculating Distortion Parameters in Spin Crossover and Coordination Complexes. 
Dalton Trans., 2021,50, 1086-1096. https://doi.org/10.1039/D0DT03988H

BibTeX

@article{Ketkaew2021,
  doi = {10.1039/d0dt03988h},
  url = {https://doi.org/10.1039/d0dt03988h},
  year = {2021},
  publisher = {Royal Society of Chemistry ({RSC})},
  volume = {50},
  number = {3},
  pages = {1086--1096},
  author = {Rangsiman Ketkaew and Yuthana Tantirungrotechai and Phimphaka Harding and Guillaume Chastanet and Philippe Guionneau and Mathieu Marchivie and David J. Harding},
  title = {OctaDist: a tool for calculating distortion parameters in spin crossover and coordination complexes},
  journal = {Dalton Transactions}
}

Bug report

If you found issues in OctaDist, please report it to us at here.

Project team

Comments
  • Bug in screen out the unwanted angle for theta parameter

    Bug in screen out the unwanted angle for theta parameter

    The \theta angle (Ligand-Metal-Ligand) on the same plane that is greater than 60 degree would be changed to 60 degree. The angle value can be less than, equal to, and greater than 60 degree. This condition for removing the unwanted angles is wrong.

    opened by rangsimanketkaew 1
  • Merge Dev v3.0.0 to master

    Merge Dev v3.0.0 to master

    v3.0.0 is the next version of OctaDist that we plan to release by March 2021.

    New features:

    • CIF (experiment) is now supported. (see #22)
    • A new visualizer by Plotly for drawing molecule. 10x faster than Matplotlib.

    Rangsiman

    opened by rangsimanketkaew 0
  • Merge v2.6.2 from nightly-build to master.

    Merge v2.6.2 from nightly-build to master.

    This pull request contains several commits which mainly

    • improve coding style (make it more pythonic)
    • fix CLI runner
    • update documentation and docstring
    • correct typos
    opened by rangsimanketkaew 0
  • Octadist 2.3 beta

    Octadist 2.3 beta

    • Switched to use Mathieu's algorithm
    • This version provides a reasonable Theta value for both regular and irregular octahedral complexes
    • Unable to compile this version as a standalone executable
    • Having a problem with molecular visualization
    opened by rangsimanketkaew 0
  • v2.3_alpha_pull_rq

    v2.3_alpha_pull_rq

    • Decorated program GUI
    • Removed RMSD
    • Improved code performance
    • Added hide/show button for showing sub-window of stdout and stderr progress information
    • Added box to show min, max, and mean Theta values
    enhancement 
    opened by rangsimanketkaew 0
  • Improve the GUI of OctaDist

    Improve the GUI of OctaDist

    Hi OctaDist's developers & users,

    Thanks all for using & supporting OctaDist. OctaDist joins Hacktoberfest this year and we welcome all contributions to make OctaDist better. One of the contributions you can make is the improvement of the GUI of OctaDist. Feel free to send your PR with the hashtag #hacktoberfest !

    Best, Rangsiman

    Hacktoberfest 
    opened by rangsimanketkaew 0
  • ASE integration

    ASE integration

    Dear colleagues, thanks for the nice tool! Are there any plans to integrate with the atomic simulation environment Python framework which is very widely used? The integration seems to be relatively straightforward.

    opened by blokhin 2
  • tkinter.filedialog linked with Tk 8.6.11 crashes on macOS 12 Monterey, breaking IDLE saves

    tkinter.filedialog linked with Tk 8.6.11 crashes on macOS 12 Monterey, breaking IDLE saves

    OctaDist's open file dialog failed on macOS Monterey. Please refer to this thread https://bugs.python.org/issue44828 for more details. However, macOS users are still able to use OctaDist via the command-line interface (CLI):

    octadist_cli -i file.xyz -o
    
    opened by rangsimanketkaew 0
  • Cannot read an XYZ file that saved by OctaDist

    Cannot read an XYZ file that saved by OctaDist

    OctaDist can save the Cartesian coordinate of a molecule as an XYZ file. However, OctaDist fails to read this file.

    Steps to reproduce

    1. Browse a molecule
    2. Save its coordinate as a new file called, e.g., octahedron.xyz
    3. Browse octahedron.xyz file and OctaDist yields the following error
    Exception in Tkinter callback
    Traceback (most recent call last):
      File "C:\Users\Nutt\miniconda3\lib\tkinter\__init__.py", line 1705, in __call__
        return self.func(*args)
      File "C:\Users\Nutt\Desktop\github\OctaDist\octadist\main.py", line 415, in open_file
        self.search_coord()
      File "C:\Users\Nutt\Desktop\github\OctaDist\octadist\main.py", line 451, in search_coord
        total_metal, atom_metal, coord_metal = molecule.find_metal(atom_full, coord_full)
      File "C:\Users\Nutt\Desktop\github\OctaDist\octadist\src\molecule.py", line 778, in find_metal
        21 <= number <= 30
    TypeError: '<=' not supported between instances of 'int' and 'NoneType'
    
    opened by rangsimanketkaew 0
Releases(v.3.0.0)
Owner
OctaDist
Octahedral Distortion Calculator
OctaDist
Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".

Variational Gibbs inference (VGI) This repository contains the research code for Simkus, V., Rhodes, B., Gutmann, M. U., 2021. Variational Gibbs infer

Vaidotas Šimkus 1 Apr 08, 2022
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.

Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition This is the research repository for Vid2

Future Interfaces Group (CMU) 26 Dec 24, 2022
Nb workflows - A workflow platform which allows you to run parameterized notebooks programmatically

NB Workflows Description If SQL is a lingua franca for querying data, Jupyter sh

Xavier Petit 6 Aug 18, 2022
An Industrial Grade Federated Learning Framework

DOC | Quick Start | 中文 FATE (Federated AI Technology Enabler) is an open-source project initiated by Webank's AI Department to provide a secure comput

Federated AI Ecosystem 4.8k Jan 09, 2023
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers Created by Xumin Yu*, Yongming Rao*, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou

Xumin Yu 317 Dec 26, 2022
PyTorch trainer and model for Sequence Classification

PyTorch-trainer-and-model-for-Sequence-Classification After cloning the repository, modify your training data so that the training data is a .csv file

NhanTieu 2 Dec 09, 2022
An unsupervised learning framework for depth and ego-motion estimation from monocular videos

SfMLearner This codebase implements the system described in the paper: Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew

Tinghui Zhou 1.8k Dec 30, 2022
Pytorch code for our paper Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains)

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains (ICLR'2022) This is the Pytorch code for our paper Beyond ImageNet

Alibaba-AAIG 37 Nov 23, 2022
Compartmental epidemic model to assess undocumented infections: applications to SARS-CoV-2 epidemics in Brazil - Datasets and Codes

Compartmental epidemic model to assess undocumented infections: applications to SARS-CoV-2 epidemics in Brazil - Datasets and Codes The codes for simu

1 Jan 12, 2022
Unrolled Generative Adversarial Networks

Unrolled Generative Adversarial Networks Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein arxiv:1611.02163 This repo contains an example notebo

Ben Poole 292 Dec 06, 2022
OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'

OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Out-of-Distribution Minimum Anomaly Score GAN (OMASGAN) C

- 8 Sep 27, 2022
A minimalist environment for decision-making in autonomous driving

highway-env A collection of environments for autonomous driving and tactical decision-making tasks An episode of one of the environments available in

Edouard Leurent 1.6k Jan 07, 2023
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create

Vector AI 267 Dec 23, 2022
Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.

Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks

Deepak Nandwani 1 Jan 01, 2022
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project

Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc hav

Gaurav Pandey 2 Jan 08, 2022
HeatNet is a python package that provides tools to build, train and evaluate neural networks designed to predict extreme heat wave events globally on daily to subseasonal timescales.

HeatNet HeatNet is a python package that provides tools to build, train and evaluate neural networks designed to predict extreme heat wave events glob

Google Research 6 Jul 07, 2022
[ICCV 2021 Oral] SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

This repository contains the source code for the paper SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer (ICCV 2021 Oral). The project page is here.

AllenXiang 65 Dec 26, 2022
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Self-Supervised Pillar Motion Learning for Autonomous Driving Chenxu Luo, Xiaodong Yang, Alan Yuille Self-Supervised Pillar Motion Learning for Autono

QCraft 101 Dec 05, 2022
Python package to add text to images, textures and different backgrounds

nider Python package for text images generation and watermarking Free software: MIT license Documentation: https://nider.readthedocs.io. nider is an a

Vladyslav Ovchynnykov 131 Dec 30, 2022
Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph

Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph Model Description Open-CyKG is a framework that is constructed using an attenti

Injy Sarhan 34 Jan 05, 2023