工作表
热情
密度泛函理论
黑匣子
计算机科学
软件
主题(文档)
编码(集合论)
数学教育
物理
量子力学
万维网
程序设计语言
数学
人工智能
心理学
社会心理学
集合(抽象数据类型)
作者
Jacob S. Hirschi,Dayana Bashirova,Tim J. Zuehlsdorff
标识
DOI:10.1021/acs.jchemed.3c00535
摘要
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.
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