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

Saved in:
Bibliographic Details
Title: Opening the Density Functional Theory Black Box: A Collection of Pedagogic Jupyter Notebooks
Language: English
Authors: Jacob S. Hirschi (ORCID 0009-0004-3327-8671), Dayana Bashirova (ORCID 0009-0006-2283-717X), Tim J. Zuehlsdorff (ORCID 0000-0002-6960-756X)
Source: Journal of Chemical Education. 2023 100(11):4496-4503.
Availability: Division of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc
Peer Reviewed: Y
Page Count: 8
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Equations (Mathematics), Problem Solving, Science Instruction, Chemistry, Computer Software, Educational Technology, Technology Uses in Education, Graduate Study, College Science
DOI: 10.1021/acs.jchemed.3c00535
ISSN: 0021-9584
1938-1328
Abstract: Density functional theory (DFT) is indubitably the most popular and among the most successful approaches for approximately solving the many-electron Schro¨dinger 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.
Abstractor: As Provided
Notes: https://github.com/tjz21/DFT_PIB_Code
Entry Date: 2024
Accession Number: EJ1447289
Database: ERIC
Description
Abstract:Density functional theory (DFT) is indubitably the most popular and among the most successful approaches for approximately solving the many-electron Schro¨dinger 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.
ISSN:0021-9584
1938-1328
DOI:10.1021/acs.jchemed.3c00535