High-Performance Computational Chemistry in Undergraduate Physical Chemistry: Exercises in Homonuclear Diatomic Molecules

被引:4
作者
Bendavid, Leah Isseroff [1 ]
机构
[1] Vassar Coll, Dept Chem, Poughkeepsie, NY 12604 USA
关键词
Physical Chemistry; Upper-Division Undergraduate; Computer-Based Learning; Computational Chemistry; MO Theory; Quantum Chemistry; Molecular Modeling; Theoretical Chemistry; ORBITALS;
D O I
10.1021/acs.jchemed.2c00706
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This article presents computational chemistry exercises that are designed to be incorporated into an undergraduate physical chemistry course. This activity teaches computational chemistry as it is performed in higher-level research (in a command-line environment and executed on a high-performance computing cluster) to provide students with a foundation of computational chemistry skills for more advanced computational chemistry research. The activity is also a practical application of topics taught in physical chemistry courses, using the linear combination of atomic orbitals molecular orbital (LCAO-MO) theory description of homonuclear diatomic molecules as a basis to introduce students to computational chemistry techniques, density functional theory calculations of physical observables, and the analysis of computational results. Results from a survey assessing students' learning gains demonstrate that these exercises produce significant gains in students' computational skills, highlighting the efficacy of this activity in achieving its primary goals.
引用
收藏
页码:389 / 394
页数:6
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