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

Jacob S. Hirschi, Dayana Bashirova, Tim J. Zuehlsdorff

2023Journal of Chemical Education12 citationsDOIOpen Access PDF

Abstract

High Resolution Image Download MS PowerPoint Slide 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 postactivity survey results reveal largely positive reactions to this implementation and sustained enthusiasm for the subject.

Topics & Concepts

WorksheetEnthusiasmDensity functional theoryBlack boxComputer scienceSubject (documents)SoftwareCode (set theory)Mathematics educationPhysicsQuantum mechanicsProgramming languageMathematicsWorld Wide WebArtificial intelligencePsychologySocial psychologySet (abstract data type)Various Chemistry Research TopicsAdvanced Chemical Physics StudiesMachine Learning in Materials Science
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