schrodinger.ipynb notebook serves as the official seminar for the graduate course in Modern Physics and Technology FEMT08, taught by professor Ivica Puljak.
The paper titled Numerical Solution of the Schrödinger Equation Using a Neural Network Approach is based on this solver and is available at: https://ieeexplore.ieee.org/document/9238221.
@inProceedings{Kapetanovic2020,
author={A. L. {Kapetanović} and D. {Poljak}},
booktitle={2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)},
title={Numerical Solution of the Schrödinger Equation Using a Neural Network Approach},
year={2020},
pages={1-5},
doi={10.23919/SoftCOM50211.2020.9238221}}
Clone the repo onto your local machine:
$ git clone https://github.com/antelk/schrodinger.git
Access schrodinger
directory:
$ cd schrodinger
Create conda
environment to avoid compatibility issues:
$ conda env create -n schrodinger -f environment.yml
Activate the environment:
$ conda activate schrodinger
Run:
$ jupyter notebook
Remove the environment and its dependencies
$ conda remove -n schrodinger --all