Lanthanide-directed metal–organic coordination networks

Parreiras, Sofia O.; Gallego, José M.; Écija, David

doi:10.1039/d3cc01496g

Cited by 9 publications

(5 citation statements)

References 118 publications

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“…reviewed how dimeric 4 f ‐SMM can be converted from bulk SMM to magnetic deposits and luminescent devices. In 2023, [311] D. Ecija et al. reviewed 4 f‐ based 2D molecular framework whose constitution 4 f ions depict SMM properties.…”

Section: First Steps In a New Research Field The Case Study Of 4 F‐smmmentioning

confidence: 99%

Get under the Umbrella: A Comprehensive Gateway for Researchers on Lanthanide‐Based Single‐Molecule Magnets

Bernot

2023

Eur J Inorg Chem

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The number of scientific articles that need to be considered to cover a research topic is ever‐increasing and quite difficult for a newcomer to assimilate. This is particularly true in dynamic discipline like Molecular Magnetism. In order to help young researchers in this field, this article proposes a "review of reviews" also known as an "umbrella review" on lanthanide‐based single‐molecule magnets (4f‐SMM). As a preamble, various bibliographic search techniques and AI‐based tools for bibliographic search, indexing, and summarization are proposed and commented. Then, the main milestones in 4f‐SMM are identified. In the core of the paper, books, book articles, and reviews dealing with 4f‐SMM are contextualized and classified by subtopics. This article is therefore proposed as a gateway to the 4f‐SMM field.

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Section: First Steps In a New Research Field The Case Study Of 4 F‐smmmentioning

confidence: 99%

Get under the Umbrella: A Comprehensive Gateway for Researchers on Lanthanide‐Based Single‐Molecule Magnets

Bernot

2023

Eur J Inorg Chem

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“…One important advantage of this synthetic method is the design of defect‐free nanoarchitectures with long‐range ordering, as typically observed for 2D metal‐organic networks. [ 17 ] However, it is important to take into account that, for both metal‐organic and organometallic materials, the metal atoms can interact with the substrate due to their close proximity to the surface. Such interaction can modify the electronic and magnetic properties of these materials, especially in the case of metallic substrates.…”

Section: Introductionmentioning

confidence: 99%

“…While on‐surface chemistry has proven to be highly successful in designing 2D metal‐organic structures, [ 17 , 18 ] its application to organometallic sandwich architectures remains limited. A notable exception is the design of organometallic wires based on cyclooctatetraene (COT) ligands and Europium, featuring edge‐on adsorption of the molecular species and exhibiting ferromagnetism.…”

Section: Introductionmentioning

confidence: 99%

On‐Surface Synthesis of Organolanthanide Sandwich Complexes

Mathialagan,

Parreiras,

Tenorio

et al. 2024

Advanced Science

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The synthesis of lanthanide‐based organometallic sandwich compounds is very appealing regarding their potential for single‐molecule magnetism. Here, it is exploited by on‐surface synthesis to design unprecedented lanthanide‐directed organometallic sandwich complexes on Au(111). The reported compounds consist of Dy or Er atoms sandwiched between partially deprotonated hexahydroxybenzene molecules, thus introducing a distinct family of homoleptic organometallic sandwiches based on six‐membered ring ligands. Their structural, electronic, and magnetic properties are investigated by scanning tunneling microscopy and spectroscopy, X‐ray absorption spectroscopy, X‐ray linear and circular magnetic dichroism, and X‐ray photoelectron spectroscopy, complemented by density functional theory‐based calculations. Both lanthanide complexes self‐assemble in close‐packed islands featuring a hexagonal lattice. It is unveiled that, despite exhibiting analogous self‐assembly, the erbium‐based species is magnetically isotropic, whereas the dysprosium‐based compound features an in‐plane magnetization.

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“…Due to its widespread importance, molecular self-assembly has received vast attention in the past decades. Molecular self-assemblies at solid surfaces could produce large-scale surface nanostructures. − And properties of molecular thin films, such as the optical absorbance and electrical conductivity, are dependent on the structures of molecules upon adsorption on a substrate. − Generally speaking, the self-assembled patterns are decided by the intrinsic properties of the molecules and environments, i.e., the balance of the adsorbate–adsorbate and adsorbate–surface interactions for molecular self-assemblies on surfaces. − Due to the complexity that arises from different aspects including the different functional groups of molecules, the size/shape of the molecular backbone, their adsorption geometries, as well as the different metal substrates, predicting the self-assembled structures remains an enormous challenge. − Meanwhile, constructing surface-supported supramolecular nanostructures through traditional trial-and-error methods relies on repeated preparations and experimental characterizations with advanced characterization tools, such as scanning probe microscopy (SPM), − which are typically time-consuming and costly.…”

Section: Introductionmentioning

confidence: 99%

Predicting Molecular Self-Assembly on Metal Surfaces Using Graph Neural Networks Based on Experimental Data Sets

Zheng,

Lu,

Zhu

et al. 2023

ACS Nano

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The application of supramolecular chemistry on solid surfaces has received extensive attention in the past few decades. To date, combining experiments with quantum mechanical or molecular dynamic methods represents the key strategy to explore the molecular self-assembled structures, which is, however, often laborious. Recently, machine learning (ML) has become one of the most exciting tools in material research, allowing for both efficiency and accuracy in predicting molecular properties. In this work, we constructed a graph neural network to predict the self-assembly of functional polycyclic aromatic hydrocarbons (PAHs) on metal surfaces. Using scanning tunneling microscopy (STM), we characterized the self-assembled nanostructures of a homologous series of PAH molecules on different metal surfaces to construct an experimental data set for model training. Compared with traditional ML algorithms, our model exhibits better predictive performance. Finally, the generalization of the model is further verified by comparing the ML predictions and experimental results of different functionalized molecule. Our results demonstrate training experimental data sets to produce a predictive ML model of molecular self-assembly with generalization performance, which allows for the predictive design of nanostructures with functional molecules.

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Lanthanide-directed metal–organic coordination networks

Abstract: The synthesis of two-dimensional metal-organic networks (2D-MOCNs) on solid substrates is a rapidly growing field of research due to their potential applications in gas sensing, catalysis, energy storage, spintronics, and...

Cited by 9 publications

References 118 publications

Get under the Umbrella: A Comprehensive Gateway for Researchers on Lanthanide‐Based Single‐Molecule Magnets

Get under the Umbrella: A Comprehensive Gateway for Researchers on Lanthanide‐Based Single‐Molecule Magnets

On‐Surface Synthesis of Organolanthanide Sandwich Complexes

Predicting Molecular Self-Assembly on Metal Surfaces Using Graph Neural Networks Based on Experimental Data Sets

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