1. Disordered crystals from first principles I: Quantifying the configuration space
- Author
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Emil Prodan and Thomas D. Kühne
- Subjects
FOS: Physical sciences ,General Physics and Astronomy ,Multivariate normal distribution ,Physics - Classical Physics ,02 engineering and technology ,01 natural sciences ,Monocrystalline silicon ,Molecular dynamics ,symbols.namesake ,Physics - Chemical Physics ,0103 physical sciences ,Ergodic theory ,Statistical physics ,Gibbs measure ,010306 general physics ,Mathematical Physics ,Chemical Physics (physics.chem-ph) ,Physics ,Quantum Physics ,Classical Physics (physics.class-ph) ,Mathematical Physics (math-ph) ,Computational Physics (physics.comp-ph) ,021001 nanoscience & nanotechnology ,Homogeneous ,visual_art ,Electronic component ,visual_art.visual_art_medium ,symbols ,Configuration space ,Quantum Physics (quant-ph) ,0210 nano-technology ,Physics - Computational Physics - Abstract
This work represents the first chapter of a project on the foundations of first-principle calculations of the electron transport in crystals at finite temperatures. We are interested in the range of temperatures, where most electronic components operate, that is, room temperature and above. The aim is a predictive first-principle formalism that combines ab-initio molecular dynamics and a finite-temperature Kubo-formula for homogeneous thermodynamic phases. The input for this formula is the ergodic dynamical system $(\Omega,\mathbb G,{\rm d}\mathbb P)$ defining the crystalline phase, where $\Omega$ is the configuration space for the atomic degrees of freedom, $\mathbb G$ is the space group acting on $\Omega$ and ${\rm d}\mathbb P$ is the ergodic Gibbs measure relative to the $\mathbb G$-action. The present work develops an algorithmic method for quantifying $(\Omega,\mathbb G,{\rm d}\mathbb P)$ from first principles. Using the silicon crystal as a working example, we find the Gibbs measure to be extremely well characterized by a multivariate normal distribution, which can be quantified using a small number of parameters. The latter are computed at various temperatures and communicated in the form of a table. Using this table, one can generate large and accurate thermally-disordered atomic configurations to serve, for example, as input for subsequent simulations of the electronic degrees of freedom., Comment: 33 pages, 16 figures
- Published
- 2018
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