2021
DOI: 10.3390/catal11020208
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Atomistic-Scale Simulations on Graphene Bending Near a Copper Surface

Abstract: Molecular insights into graphene-catalyst surface interactions can provide useful information for the efficient design of copper current collectors with graphitic anode interfaces. As graphene bending can affect the local electron density, it should reflect its local reactivity as well. Using ReaxFF reactive molecular simulations, we have investigated the possible bending of graphene in vacuum and near copper surfaces. We describe the energy cost for graphene bending and the binding energy with hydrogen and co… Show more

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Cited by 12 publications
(11 citation statements)
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“…On the other hand, none of the widely used classical force fieldswhich are generally suitable for simulating large systemssuch as AMBER, CHARMM, GROMOS, or OPLS, can be used to correctly reproduce the mechanical properties of graphene while simultaneously satisfying chemically justified carbon–copper interactions. Fortunately, a recently developed Cu–C ReaxFF parameter set can be used to model a graphene sheet at a copper step edge, as it not only includes the parameters for interactions between carbon atoms that correctly describe the mechanical properties of graphene but has also been shown to accurately model experimentally observed draping of a suspended graphene ribbon at a copper step . Thus, we used the ReaxFF method with a recently updated version of this parameter set to further stabilize the carbon–copper interactions to perform atomistic simulations and understand the mechanical properties of our system.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, none of the widely used classical force fieldswhich are generally suitable for simulating large systemssuch as AMBER, CHARMM, GROMOS, or OPLS, can be used to correctly reproduce the mechanical properties of graphene while simultaneously satisfying chemically justified carbon–copper interactions. Fortunately, a recently developed Cu–C ReaxFF parameter set can be used to model a graphene sheet at a copper step edge, as it not only includes the parameters for interactions between carbon atoms that correctly describe the mechanical properties of graphene but has also been shown to accurately model experimentally observed draping of a suspended graphene ribbon at a copper step . Thus, we used the ReaxFF method with a recently updated version of this parameter set to further stabilize the carbon–copper interactions to perform atomistic simulations and understand the mechanical properties of our system.…”
Section: Resultsmentioning
confidence: 99%
“…Fortunately, a recently developed Cu−C ReaxFF parameter set 43 can be used to model a graphene sheet at a copper step edge, as it not only includes the parameters for interactions between carbon atoms that correctly describe the mechanical properties of graphene but has also been shown to accurately model experimentally observed draping of a suspended graphene ribbon at a copper step. 44 Thus, we used the ReaxFF method with a recently updated version of this parameter set to further stabilize the carbon−copper interactions to perform atomistic simulations and understand the mechanical properties of our system. See the Supporting Information, Section 3 for more information on the ReaxFF simulations performed.…”
Section: As This Contraction Results I N T H E P O I S S O N C O M P ...mentioning
confidence: 99%
“…The strain was introduced by stretching the shorter MnO 2 layer to match the cell size of the pristine layer, preserving periodic boundaries, and increasing the possibility of wrinkling. 43 The strain of 4.16% was chosen to maintain a minimum possible cut, i.e., one MnO 2 unit cell, so no artificial chemical reactions are introduced and balance computational cost.…”
Section: Acs Appliedmentioning
confidence: 99%
“…An electronegativity equalization polarizable charge model allows the force field to derive atomic charges dynamically at each iteration to produce accurate and geometry-dependent charge distributions. To date, the ReaxFF method has been applied to a wide range of 2D materials. , …”
Section: Theoretical Sectionmentioning
confidence: 99%