2013
DOI: 10.1021/ct3011248
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Modeling the Self-Assembly of Nano Objects: Applications to Supramolecular Organic Monolayers Adsorbed on Metal Surfaces

Abstract: We present here the implementation of a code developed for the simulation of the self-assembly of nano objects (SANO). The code has the ability to predict the molecular self-assembly of different structural motifs by tuning the molecular building blocks as well as the metallic substrate. It consists in a two-dimensional grand canonical Monte Carlo (GCMC) approach developed to perform atomistic simulations of thousands of large organic molecules self-assembling on metal surfaces. By computing adsorption isother… Show more

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Cited by 25 publications
(24 citation statements)
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“…We also note a promising methodology combining kinetic and thermodynamic properties that is able to simulate the entire molecular self-assembling process and is termed self-assembly of nano-objects (SANO). 391 Based on a 2D Ag (111). Recently, the self-assembly of DIP at RT on different reconstructions of the Au (111) surface was reported, emphasizing the complex role of the driving force (either cooperative or competitive) in producing long-range ordered domains and surface-induced chirality consistent with experimental STM results.…”
Section: Towards Predicting Bicomponent Self-assembly: Simulationssupporting
confidence: 57%
“…We also note a promising methodology combining kinetic and thermodynamic properties that is able to simulate the entire molecular self-assembling process and is termed self-assembly of nano-objects (SANO). 391 Based on a 2D Ag (111). Recently, the self-assembly of DIP at RT on different reconstructions of the Au (111) surface was reported, emphasizing the complex role of the driving force (either cooperative or competitive) in producing long-range ordered domains and surface-induced chirality consistent with experimental STM results.…”
Section: Towards Predicting Bicomponent Self-assembly: Simulationssupporting
confidence: 57%
“…The movements introduced in the MC simulations are translation, rotation or translation plus rotation of molecules. 8 As usual, each MC cycle requires the evaluation of the potential energy of the system, which is computationally very expensive. In our MC simulations, the potential energy of the system is derived from the (tri-)linear interpolation of the precalculated molecule-molecule (V MM ) and molecule-substrate (V MS ) potential energies.…”
Section: Discussionmentioning
confidence: 99%
“…This approximation is essential in the SANO methodology. 8 It improves the computational efficiency by a factor of 10 4 (or more) while keeping the atomistic description of the system and the desired accuracy for the potential energies. It allows performing standard Monte Carlo (MC) simulations on a two-dimensional large periodic box containing (n  m) integer numbers of unit cells of the substrate.…”
Section: Discussionmentioning
confidence: 99%
“…The adsorption of organic molecules with different amounts of functional groups and the symmetry of their arrangement were investigated. 17,[42][43][44][45][46][47][48][49][50][51][52] Phase transitions, their order and universality class have been analyzed for the simplest models. [53][54][55][56][57] In this work, using a simple lattice gas model we study the features of the self-assembly in adsorption layers where both ''adsorbate-adsorbate'' and ''adsorbate-adsorbent'' interactions are anisotropic.…”
Section: Introductionmentioning
confidence: 99%