Epitaxial Growth of 2D Materials on High‐Index Substrate Surfaces

Zhang, Leining; Peng, Peng; Ding, Feng

doi:10.1002/adfm.202100503

Cited by 21 publications

(34 citation statements)

References 41 publications

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“…As illustrated in Fig. 68, due to the existence of step edges, a high-index surface owns very low C1 or Cs symmetry 1640,1655 . On such a substrate, the energetically most preferred orientations of a 2D material are not degenerated and, thus, uniformly aligned 2D islands may be grown under the optimized experimental condition.…”

Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

“…Near a step edge, the alignment of a 2D material is determined by the interaction between the edge of the 2D material and the step edge of the substrate, or the interfacial formation energy 1655,1660 . Fig.…”

Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

“…As exhibited in Fig. 70a, on a high-index surface, which can be constructed by many low-index terraces and step edges, the alignment of h-BN islands highly depends on the types of the terrace and step edges 1655 . Zhao et al investigated the alignments of triangular h-BN clusters on the (111) surface of FCC metals and the (0001) surface of hexagonal close packed (HCP) metals, respectively (Fig.…”

Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

“…Both experimental and theoretical studies have showed that, the nucleation of 2D materials near a step edge of a high-index surface is energetically more preferred than that on a low index terrace 1658,1659,1666 . Generally, step edges of a high index surfaces may along any direction and can be classified into straight step edges and tilted ones 1655 . In general, a straight h-BN edge, such as armchair or zigzag, attaching to a straight step edge, such as the <110>, <100> or <211> step edge of a surface of a FCC crystal, is energetically most preferred.…”

Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

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Recent Progress on Two-Dimensional Materials

Chang¹,

Chen²,

Chen³

et al. 2021

Acta Physico Chimica Sinica

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309

119

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Research on two-dimensional (2D) materials has been explosively increasing in last seventeen years in varying subjects including condensed matter physics, electronic engineering, materials science, and chemistry since the mechanical exfoliation of graphene in 2004. Starting from graphene, 2D materials now have become a big family with numerous members and diverse categories. The unique structural features and physicochemical properties of 2D materials make them one class of the most appealing candidates for a wide range of potential applications.In particular, we have seen some major breakthroughs made in the field of 2D materials in last five years not only in developing novel synthetic methods and exploring new structures/properties but also in identifying innovative applications and pushing forward commercialisation. In this review, we provide a critical summary on the recent progress made in the field of 2D materials with a particular focus on last five years. After a brief background 物理化学学报 Acta Phys. -Chim. Sin. 2021, 37 (12), 2108017 (3 of 151) introduction, we first discuss the major synthetic methods for 2D materials, including the mechanical exfoliation, liquid exfoliation, vapor phase deposition, and wet-chemical synthesis as well as phase engineering of 2D materials belonging to the field of phase engineering of nanomaterials (PEN). We then introduce the superconducting/optical/magnetic properties and chirality of 2D materials along with newly emerging magic angle 2D superlattices. Following that, the promising applications of 2D materials in electronics, optoelectronics, catalysis, energy storage, solar cells, biomedicine, sensors, environments, etc. are described sequentially. Thereafter, we present the theoretic calculations and simulations of 2D materials. Finally, after concluding the current progress, we provide some personal discussions on the existing challenges and future outlooks in this rapidly developing field.

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Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

Section: Growth Mechanism Of 2d Materials Via Bottomup Synthesismentioning

confidence: 99%

See 2 more Smart Citations

Recent Progress on Two-Dimensional Materials

Chang¹,

Chen²,

Chen³

et al. 2021

Acta Physico Chimica Sinica

Self Cite

309

119

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show abstract

“…In addition to the solution algorithms of the two standard methods, the wave front sensing method can also be used to evaluate the flatness error of micro/nano surface. Nutsch et al (2007) and Zhang et al (2021) improved the wave front sensing method proposed by Makyoh and Shack Hartmann and applied it to the flatness error evaluation of wafer surface.…”

Section: Related Workmentioning

confidence: 99%

Research on Micro/Nano Surface Flatness Evaluation Method Based on Improved Particle Swarm Optimization Algorithm

Han

Zou

Chen

et al. 2021

Front. Bioeng. Biotechnol.

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Flatness error is an important factor for effective evaluation of surface quality. The existing flatness error evaluation methods mainly evaluate the flatness error of a small number of data points on the micro scale surface measured by CMM, which cannot complete the flatness error evaluation of three-dimensional point cloud data on the micro/nano surface. To meet the needs of nano scale micro/nano surface flatness error evaluation, a minimum zone method on the basis of improved particle swarm optimization (PSO) algorithm is proposed. This method combines the principle of minimum zone method and hierarchical clustering method, improves the standard PSO algorithm, and can evaluate the flatness error of nano scale micro/nano surface image data point cloud scanned by atomic force microscope. The influence of the area size of micro/nano surface topography data on the flatness error evaluation results is analyzed. The flatness evaluation results and measurement uncertainty of minimum region method, standard least squares method, and standard PSO algorithm on the basis of the improved PSO algorithm are compared. Experiments show that the algorithm can stably evaluate the flatness error of micro/nano surface topography point cloud data, and the evaluation result of flatness error is more reliable and accurate than standard least squares method and standard PSO algorithm.

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Exploring Interfaces Through Synchrotron Radiation Characterization Techniques: A Graphene Case

Ding

Shi

Zeng

et al. 2022

Adv Funct Materials

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Recently, many breakthroughs have been made in graphene research, allowing scientists to explore and understand the material world from a two‐dimensional (2D) perspective. The interface issue of graphene is the most important, because all of its atoms are exposed to the interface for this atomically thin material. The 2D nature necessitates a sensitive and non‐destructive interface probe to detect the structure and properties. Synchrotron radiation (SR) characterization techniques, with the ultra‐high resolution and extremely wide energy range, have been utilized with increasing frequency to explore the challenging interface sciences. In this review, these interface characterization techniques based on SR and how they monitor the structure evolution of graphene in different interfaces such as graphene–substrate and graphene–graphene interface are first introduced. Graphene's layer number, interlayer spacing, and stacking order are governed by these interfaces, determining the final properties. Then, the property detection and modulation in different interfaces of graphene are also discussed. Finally, the current challenges and outlook on the future development for SR techniques to characterize graphene interface are presented.

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Epitaxial Growth of 2D Materials on High‐Index Substrate Surfaces

Cited by 21 publications

References 41 publications

Recent Progress on Two-Dimensional Materials

Recent Progress on Two-Dimensional Materials

Research on Micro/Nano Surface Flatness Evaluation Method Based on Improved Particle Swarm Optimization Algorithm

Exploring Interfaces Through Synchrotron Radiation Characterization Techniques: A Graphene Case

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