DocumentCode :
51511
Title :
Simplified Pseudopotential Problems for the Classroom
Author :
Salagaram, Trisha ; Andrew, Richard Charles ; Chetty, Nithaya
Author_Institution :
Univ. of Pretoria, Tshwane, South Africa
Volume :
17
Issue :
1
fYear :
2015
fDate :
Jan.-Feb. 2015
Firstpage :
46
Lastpage :
53
Abstract :
Ab initio methods have been used for many decades to accurately predict properties of solids such as the physical, electronic, optical, magnetic, and elastic. A generation ago, many research groups developed their own in-house codes to perform ab initio calculations. In doing so, research students were intimately involved in many aspects of the coding, such as developing the theoretical framework, and algorithmic and programming details. Over time, however, collaborations between various research groups within academia and in industry have resulted in the creation of more than 50 large, open source, and commercial electronic structure packages. These software packages are widely used today for condensed matter research by students who, unfortunately, often have little understanding of the fundamental aspects of these codes. To address this shortcoming, a program at the University of Pretoria aims to devise a range of simplified, easily programmable computational problems appropriate for the classroom, which can be used to teach advanced undergraduate students about particular theoretical and computational aspects of the electronic structure method. This article focuses on the pseudopotential, which is a centrally important concept in many modern ab initio methods. Whereas the full implementation of the pseudopotential construct in a real electronic structure code requires complex numerical methods--for example, accelerated convergence to self-consistency including the interactions between all the electrons in the system--the essential principles of the pseudopotential can, nevertheless, be presented in a simpler class of problems, which students can readily code.
Keywords :
computer aided instruction; mathematics computing; numerical analysis; physics computing; software packages; teaching; ab initio methods; advanced undergraduate student teaching; classroom; commercial electronic structure packages; complex numerical methods; electronic structure code; in-house codes; open source electronic structure packages; programmable computational problems; simplified pseudopotential problems; software packages; Atomic measurements; Computational modeling; Density functional theory; Energy states; Interpolation; Mathematical model; Scientific computing; Wave functions; 1D; Density Functional Theory (DFT); computational methods; pseudopotentials; scientific computing;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2015.22
Filename :
7030309
Link To Document :
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