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Journal ArticleDOI

Empirical potential for hydrocarbons for use in simulating the chemical vapor deposition of diamond films

Donald W. Brenner
- 15 Nov 1990 - 
- Vol. 42, Iss: 15, pp 9458-9471
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TLDR
An empirical many-body potential-energy expression is developed for hydrocarbons that can model intramolecular chemical bonding in a variety of small hydrocarbon molecules as well as graphite and diamond lattices based on Tersoff's covalent-bonding formalism with additional terms that correct for an inherent overbinding of radicals.
Abstract
An empirical many-body potential-energy expression is developed for hydrocarbons that can model intramolecular chemical bonding in a variety of small hydrocarbon molecules as well as graphite and diamond lattices. The potential function is based on Tersoff's covalent-bonding formalism with additional terms that correct for an inherent overbinding of radicals and that include nonlocal effects. Atomization energies for a wide range of hydrocarbon molecules predicted by the potential compare well to experimental values. The potential correctly predicts that the \ensuremath{\pi}-bonded chain reconstruction is the most stable reconstruction on the diamond {111} surface, and that hydrogen adsorption on a bulk-terminated surface is more stable than the reconstruction. Predicted energetics for the dimer reconstructed diamond {100} surface as well as hydrogen abstraction and chemisorption of small molecules on the diamond {111} surface are also given. The potential function is short ranged and quickly evaluated so it should be very useful for large-scale molecular-dynamics simulations of reacting hydrocarbon molecules.

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Meshfree and particle methods and their applications

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Size and chirality dependent elastic properties of graphene nanoribbons under uniaxial tension.

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Thermal conductivity and thermal rectification in graphene nanoribbons: a molecular dynamics study.

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Journal ArticleDOI

Parallel reactive molecular dynamics: Numerical methods and algorithmic techniques

TL;DR: PuReMD is presented, which extends current spatio-temporal simulation capability for reactive atomistic systems by over an order of magnitude and incorporates efficient dynamic data structures, algorithmic optimizations, and effective solvers to deliver low per-time-step simulation time, with a small memory footprint.