Journal
COMMUNICATIONS IN COMPUTATIONAL PHYSICS
Volume 12, Issue 1, Pages 135-161Publisher
GLOBAL SCIENCE PRESS
DOI: 10.4208/cicp.190111.090911a
Keywords
Density functional theory; truncated Newton method; conjugate gradient method; constrained optimization; benchmarks
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Funding
- National Defense Science and Engineering Graduate Fellowship program
- National Science Foundation
- Division Of Chemistry
- Direct For Mathematical & Physical Scien [0910563] Funding Source: National Science Foundation
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Orbital-free density functional theory (OFDFT) is a quantum mechanical method in which the energy of a material depends only on the electron density and ionic positions. We examine some popular algorithms for optimizing the electron density distribution in OFDFT, explaining their suitability, benchmarking their performance, and suggesting some improvements. We start by describing the constrained optimization problem that encompasses electron density optimization. Next, we discuss the line search (including Wolfe conditions) and the nonlinear conjugate gradient and truncated Newton algorithms, as implemented in our open source OFDFT code. We finally focus on preconditioners derived from OFDFT energy functionals. Newly-derived preconditioners are successful for simulation cells of all sizes without regions of low electron-density and for small simulation cells with such regions.
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