Opening the Density-Functional Theory Black Box: a Collection of Pedagogic Jupyter Notebooks

07 June 2023, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Density-Functional Theory (DFT) is indubitably the most popular and among the most successful approaches for approximately solving the many-electron Schrödinger equation. The level of understanding on the part of both researchers and students using DFT, however, is lacking given the availability of black box software. The present work addresses this knowledge gap by providing three Jupyter notebooks, easily accessible through the Google Colaboratory (GitHub repository: https://github.com/tjz21/DFT_PIB_Code), that provide a short skirmish with the fundamentals of DFT through a particle in a box-type model system. These notebooks were tested in conjunction with a problem worksheet in a graduate-level quantum chemistry course; pre- and post-activity survey results reveal largely positive reactions to this implementation and sustained enthusiasm for the subject.

Keywords

Computer-Based Learning
Computational Chemistry
Graduate Education/Research
Upper-Division Undergraduate
Jupyter Notebooks

Supplementary materials

Title
Description
Actions
Title
Survey Analysis
Description
Pre- and post-activity survey results and analysis from the graduate students used to test the approach.
Actions
Title
Worksheet
Description
A problem worksheet to guide student interaction with the computational notebooks.
Actions

Supplementary weblinks

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