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Python code for the running, testing and results analysis of PICIP

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PICIP

Python code for the running, testing and results analysis of PICIP

Requirements may be installed by running pip install -r requirements.txt:
emmet==2018.6.7
matplotlib==3.8.4
mp_api==0.42.1
numpy==1.21.5
pandas==2.2.2
plotly==5.22.0
pymatgen==2024.5.1
scipy==1.14.1
tqdm==4.66.4

For quick use open main.py and in the main function set desired hyperparameters and uncomment desired function for phase field. The code is structured as follows: phasefield.py defines a phase field class that stores the representation of the phase space, and performs all calculations on it. main.py contains scripts to run simulations using this class. visualise_square.py deals with plotting of the phase fields and simulating_phase_fractions.py with simulating the model error. results_plotting.py contains scripts for analysis of the data. mataerialproject_in.py is a script to create data files from materials project data for computational phase fields. Those used in the paper are already provided. fielddata.py provides the data from mpds (sadly not automated).

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Python code for the running, testing and results analysis of PICIP

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