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Interatomic potential for silicon defects and disordered phases

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TLDR
In this paper, the authors developed an empirical potential for silicon which represents a considerable improvement over existing models in describing local bonding for bulk defects and disordered phases, and applied it to the relaxation of point defects, core properties of partial dislocations and the structure of disordered phase, none of which are included in the fitting procedure.
Abstract
We develop an empirical potential for silicon which represents a considerable improvement over existing models in describing local bonding for bulk defects and disordered phases. The model consists of two- and three-body interactions with theoretically motivated functional forms that capture chemical and physical trends as explained in a companion paper. The numerical parameters in the functional form are obtained by fitting to a set of ab initio results from quantum-mechanical calculations based on density-functional theory in the local-density approximation, which include various bulk phases and defect structures. We test the potential by applying it to the relaxation of point defects, core properties of partial dislocations and the structure of disordered phases, none of which are included in the fitting procedure. For dislocations, our model makes predictions in excellent agreement with ab initio and tight-binding calculations. It is the only potential known to describe both the 30°- and 90°-partial dislocations in the glide set$111%. The structural and thermodynamic properties of the liquid and amorphous phases are also in good agreement with experimental and ab initio results. Our potential is capable of simulating a quench directly from the liquid to the amorphous phase, and the resulting amorphous structure is more realistic than with existing empirical preparation methods. These advances in transferability come with no extra computational cost, since force evaluation with our model is faster than with the popular potential of Stillinger-Weber, thus allowing reliable atomistic simulations of very large atomic systems. @S0163-1829~98!04026-0#

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Journal ArticleDOI

Intrinsic lattice thermal conductivity of semiconductors from first principles

TL;DR: The original version of this article may be found at the Applied Physics Letters website:http://dx.doi.org/10.1063/1.2822891\/\/\/\/\/\/19.28.28
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First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems.

TL;DR: The methodology of an important class of ML potentials that employs artificial neural networks is considered, which can accelerate computer simulations by several orders of magnitude, while preserving quantum mechanical accuracy.
Journal ArticleDOI

Analytical potential for atomistic simulations of silicon, carbon, and silicon carbide

TL;DR: In this article, an analytical bond-order potential for silicon, carbon, and silicon carbide is presented, which has been optimized by a systematic fitting scheme, and is built on three independently fitted potentials for the interaction of silicon and carbon.
Journal ArticleDOI

Defect migration in crystalline silicon

TL;DR: This work exploits the fact that only one Hessian eigenvector is needed to define the uphill search direction and uses conjugate gradient minimization in the tangent space to produce a hybrid algorithm to locate true transition states.
Journal ArticleDOI

Interatomic potential for Si–O systems using Tersoff parameterization

TL;DR: In this paper, a parameter set for Tersoff potential has been developed to investigate the structural properties of Si-O systems, based on ab initio calculations of small molecules and the experimental data of α-quartz.
References
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TL;DR: In this paper, the gear predictor -corrector is used to calculate forces and torques in a non-equilibrium molecular dynamics simulation using Monte Carlo methods. But it is not suitable for the gear prediction problem.
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Many-Atom Interactions in Solids: Proceedings of the International Workshop, Pajulahti, Finland, June 5-9, 1989

TL;DR: This book presents exact and approximate schemes for obtaining realistic many-atom interactions, describes applications in static and dynamic computer simulations of low-symmetry systems, and discusses in detail embedded-atom models, tight-binding models, and ab initio molecular dynamics.
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