“…Further insertion of “0°” molecules in the same manner results in molecular chains composed of straight lines with perpendicular directions (Figure g). Molecules in these straight lines adopt a zigzag configuration, in line with previous studies on BI-based molecules . The distance between two equivalent molecules (see Figure S11 for the measurement details) along the line is 1.02 ± 0.01 nm, which is four times the atomic spacing, 4 a , on Cu(100) (where a is the closest neighbor distance between atoms on a Cu(100) surface, a = 0.255 nm as measured from atomic-resolution STM images), indicating that molecules along the line occupy the same adsorption site.…”
Section: Resultsmentioning
confidence: 71%
“…Molecules in these straight lines adopt a zigzag configuration, in line with previous studies on BI-based molecules. 19 The distance between two equivalent molecules (see Figure S11 for the measurement details) along the line is 1.02 ± 0.01 nm, which is four times the atomic spacing, 4a, on Cu(100) (where a is the closest neighbor distance between atoms on a Cu(100) surface, a = Based on the results of our calculations and the parameters derived from STM and AFM images, models depicted in Figure 2c,f were developed, positioning the molecules at their preferred adsorption sites. The molecular structures are anticipated to exhibit hydrogen bonding, as the imidazole group of each molecule acts as both a proton donor and acceptor, with the molecules situated close enough to facilitate this interaction, as illustrated in the models.…”
Section: Mbi Assemblies On Cu(100) At Different Coveragesmentioning
confidence: 99%
“…Generally, the assembly of molecules on surfaces is influenced by the interplay between molecule–molecule interactions and molecule–substrate interactions. − The geometry of organic films is a critical factor in the performance of thin-film devices, − affecting properties such as film characteristics, energy-level alignment, and electronic state properties at the interface. − In addition, the molecular arrangement can trigger intermolecular electronic coupling . BI-based molecules are known to form one-dimensional (1D) hydrogen-bonded chains on Au(111) and Ag(111), − whereas they are disordered on Cu(111), indicating a substantial impact of the substrate on the assembly of BI-based molecules. Despite the potential of BI-based molecules in organic thin-film devices for applications like fuel cells, n-type organic thin-film phototransistors, and high-efficiency organic light-emitting diodes (OLEDs), − reports on their adsorption and assembly on surfaces are limited.…”
“…Further insertion of “0°” molecules in the same manner results in molecular chains composed of straight lines with perpendicular directions (Figure g). Molecules in these straight lines adopt a zigzag configuration, in line with previous studies on BI-based molecules . The distance between two equivalent molecules (see Figure S11 for the measurement details) along the line is 1.02 ± 0.01 nm, which is four times the atomic spacing, 4 a , on Cu(100) (where a is the closest neighbor distance between atoms on a Cu(100) surface, a = 0.255 nm as measured from atomic-resolution STM images), indicating that molecules along the line occupy the same adsorption site.…”
Section: Resultsmentioning
confidence: 71%
“…Molecules in these straight lines adopt a zigzag configuration, in line with previous studies on BI-based molecules. 19 The distance between two equivalent molecules (see Figure S11 for the measurement details) along the line is 1.02 ± 0.01 nm, which is four times the atomic spacing, 4a, on Cu(100) (where a is the closest neighbor distance between atoms on a Cu(100) surface, a = Based on the results of our calculations and the parameters derived from STM and AFM images, models depicted in Figure 2c,f were developed, positioning the molecules at their preferred adsorption sites. The molecular structures are anticipated to exhibit hydrogen bonding, as the imidazole group of each molecule acts as both a proton donor and acceptor, with the molecules situated close enough to facilitate this interaction, as illustrated in the models.…”
Section: Mbi Assemblies On Cu(100) At Different Coveragesmentioning
confidence: 99%
“…Generally, the assembly of molecules on surfaces is influenced by the interplay between molecule–molecule interactions and molecule–substrate interactions. − The geometry of organic films is a critical factor in the performance of thin-film devices, − affecting properties such as film characteristics, energy-level alignment, and electronic state properties at the interface. − In addition, the molecular arrangement can trigger intermolecular electronic coupling . BI-based molecules are known to form one-dimensional (1D) hydrogen-bonded chains on Au(111) and Ag(111), − whereas they are disordered on Cu(111), indicating a substantial impact of the substrate on the assembly of BI-based molecules. Despite the potential of BI-based molecules in organic thin-film devices for applications like fuel cells, n-type organic thin-film phototransistors, and high-efficiency organic light-emitting diodes (OLEDs), − reports on their adsorption and assembly on surfaces are limited.…”
“…The Au(111) 8 – 10 , Au(110) 11 – 13 , and Au(100) 14 , 15 surfaces each exhibit interesting reconstructions 16 . Specifically, Au surfaces, and more generally those of other late transition metals used in heterogeneous catalysts, have been shown to exhibit different activities only after reconstruction has occurred, where changes in preferential adsorption of reactants 17 , 18 , as well as alloying behaviors are caused by the change in morphology of the surface 19 . In addition to reconstructions, Au surfaces exhibit a spinodal decomposition, as observed using experimental STM by Schuster et al 20 .…”
Metal surfaces have long been known to reconstruct, significantly influencing their structural and catalytic properties. Many key mechanistic aspects of these subtle transformations remain poorly understood due to limitations of previous simulation approaches. Using active learning of Bayesian machine-learned force fields trained from ab initio calculations, we enable large-scale molecular dynamics simulations to describe the thermodynamics and time evolution of the low-index mesoscopic surface reconstructions of Au (e.g., the Au(111)-‘Herringbone,’ Au(110)-(1 × 2)-‘Missing-Row,’ and Au(100)-‘Quasi-Hexagonal’ reconstructions). This capability yields direct atomistic understanding of the dynamic emergence of these surface states from their initial facets, providing previously inaccessible information such as nucleation kinetics and a complete mechanistic interpretation of reconstruction under the effects of strain and local deviations from the original stoichiometry. We successfully reproduce previous experimental observations of reconstructions on pristine surfaces and provide quantitative predictions of the emergence of spinodal decomposition and localized reconstruction in response to strain at non-ideal stoichiometries. A unified mechanistic explanation is presented of the kinetic and thermodynamic factors driving surface reconstruction. Furthermore, we study surface reconstructions on Au nanoparticles, where characteristic (111) and (100) reconstructions spontaneously appear on a variety of high-symmetry particle morphologies.
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