DefAP is a program developed to facilitate the exploration of a material's defect chemistry

Related tags

Data Analysisdefap
Overview

The Defect Analysis Package (DefAP)

DefAP is a program developed to facilitate the exploration of a material's defect chemistry. A large number of features are provided and rapid exploration is supported through the use of autoplotting with carefully considered automatic data labelling and simplification options enabling production of publication quality plots.

Installation

DefAP is a Python (Python 3.6.9 tested) code that runs in a command-line interface using Linux (tested on Ubuntu 18.04.5 LTS) or MacOS (tested on MacOS 10.13.4). The following modules are required:

  • numpy
  • scipy

A gnuplot installation is also required (tested with gnuplot v5.2) and, if using a Linux system and want to automatically view plots, a GV installation (tested with gv 3.7.4).

Usage

To operate DefAP, please consult the operating manual included in the software.

Authors

  • Mr. William Neilson
  • Dr. Samuel Murphy

For work produced using DefAP, please cite:

Point Defects and Non-stoichiometry in Li2TiO3. Samuel T. Murphy and Nicholas D. M. Hine, Chem. Mater. 2014, 26, 4, 1629–1638, https://doi.org/10.1021/cm4038473

A new publication detailing the full methods of DefAP will be available soon.

Contact

Questions, remarks and contributions should be addressed to [email protected] and [email protected]

Produces a summary CSV report of an Amber Electric customer's energy consumption and cost data.

Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos

Graham Lea 12 May 26, 2022
Creating a statistical model to predict 10 year treasury yields

Predicting 10-Year Treasury Yields Intitially, I wanted to see if the volatility in the stock market, represented by the VIX index (data source), had

10 Oct 27, 2021
DaCe is a parallel programming framework that takes code in Python/NumPy and other programming languages

aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c

SPCL 330 Dec 30, 2022
Python beta calculator that retrieves stock and market data and provides linear regressions.

Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa

sammuhrai 4 Jul 29, 2022
A stock analysis app with streamlit

StockAnalysisApp A stock analysis app with streamlit. You select the ticker of the stock and the app makes a series of analysis by using the price cha

Antonio Catalano 50 Nov 27, 2022
PyNHD is a part of HyRiver software stack that is designed to aid in watershed analysis through web services.

A part of HyRiver software stack that provides access to NHD+ V2 data through NLDI and WaterData web services

Taher Chegini 23 Dec 14, 2022
A simple and efficient tool to parallelize Pandas operations on all available CPUs

Pandaral·lel Without parallelization With parallelization Installation $ pip install pandarallel [--upgrade] [--user] Requirements On Windows, Pandara

Manu NALEPA 2.8k Dec 31, 2022
PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

Burn Research 4 Oct 13, 2022
Detecting Underwater Objects (DUO)

Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it more realistic by ad

27 Dec 12, 2022
A computer algebra system written in pure Python

SymPy See the AUTHORS file for the list of authors. And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's part

SymPy 9.9k Dec 31, 2022
Projects that implement various aspects of Data Engineering.

DATAWAREHOUSE ON AWS The purpose of this project is to build a datawarehouse to accomodate data of active user activity for music streaming applicatio

2 Oct 14, 2021
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we

Jeremy Singer-Vine 98 Dec 31, 2022
🌍 Create 3d-printable STLs from satellite elevation data 🌏

mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch

Fabian Gebhart 13 Dec 15, 2022
Data analysis and visualisation projects from a range of individual projects and applications

Python-Data-Analysis-and-Visualisation-Projects Data analysis and visualisation projects from a range of individual projects and applications. Python

Tom Ritman-Meer 1 Jan 25, 2022
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences

Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are st

32 Dec 20, 2022
:truck: Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

To launch a live notebook server to test optimus using binder or Colab, click on one of the following badges: Optimus is the missing framework to prof

Iron 1.3k Dec 30, 2022
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

qgrid Qgrid is a Jupyter notebook widget which uses SlickGrid to render pandas DataFrames within a Jupyter notebook. This allows you to explore your D

Quantopian, Inc. 2.9k Jan 08, 2023
statDistros is a Python library for dealing with various statistical distributions

StatisticalDistributions statDistros statDistros is a Python library for dealing with various statistical distributions. Now it provides various stati

1 Oct 03, 2021
Tokyo 2020 Paralympics, Analytics

Tokyo 2020 Paralympics, Analytics Thanks for checking out my app! It was built entirely using matplotlib and Tokyo 2020 Paralympics data. This applica

Petro Ivaniuk 1 Nov 18, 2021
Analyzing Covid-19 Outbreaks in Ontario

My group and I took Covid-19 outbreak statistics from ontario, and analyzed them to find different patterns and future predictions for the virus

Vishwaajeeth Kamalakkannan 0 Jan 20, 2022