2021
DOI: 10.1016/j.apsusc.2021.148989
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Melting of Fe-terephthalate layers on Cu(1 0 0) surface with randomly distributed point defects

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Cited by 11 publications
(10 citation statements)
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“…Computer simulations of metal-organic adsorbed overlayers have been recently successfully used to predict outcomes of the self-assembly of various organic linkers. [28][29][30][31][32][33][34] In those instances simplified coarse-grained models of the self-assembling molecules and adsorbing surfaces have been proposed, resulting in a good agreement with the experiment. Moreover, new molecular architectures have been theoretically predicted (e. g. the Sierpiński triangle fractals [29] ) the formation of which was later confirmed experimentally.…”
Section: Introductionmentioning
confidence: 95%
“…Computer simulations of metal-organic adsorbed overlayers have been recently successfully used to predict outcomes of the self-assembly of various organic linkers. [28][29][30][31][32][33][34] In those instances simplified coarse-grained models of the self-assembling molecules and adsorbing surfaces have been proposed, resulting in a good agreement with the experiment. Moreover, new molecular architectures have been theoretically predicted (e. g. the Sierpiński triangle fractals [29] ) the formation of which was later confirmed experimentally.…”
Section: Introductionmentioning
confidence: 95%
“…In this field, methods such as molecular dynamics and Monte Carlo simulations have been used most frequently. The latter method, especially in its coarse-grained variant, revealed to be a powerful tool that allowed for the fast and correct prediction of adsorbed superstructures, including molecular networks, , strings, cyclic oligomers, , fractal aggregates, , and others. , The MC method has also been used to study metal–organic systems on surfaces, demonstrating the possibility of steering the self-assembly by manipulating intrinsic properties of contributing molecules. , …”
Section: Introductionmentioning
confidence: 99%
“…We believe that the protocol used in the course of this study can give a very helpful insight for the experimentalists owing to the fact that computer modeling is a very convenient substitute to the exploration of problems of interest and can reasonably complement experimental findings. Although there are other methods that have been widely used such as quantum density functional theory or classical Monte Carlo, we have already proven that the approach used in our laboratory can be useful for examination of similar systems of interest both in one-component systems and binary mixtures. …”
Section: Introductionmentioning
confidence: 99%