2016
DOI: 10.1002/wcms.1295
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Prediction of two‐dimensional materials by the global optimization approach

Abstract: Crystal structure prediction is one of the most fundamental challenges in the physics and chemistry sciences. In recent years, this problem has gained much practical success by the global optimization approach. Here, we survey some recent progress in finding the global minimum of two‐dimensional (2D) materials, and introduce some details of these global optimization approach. Then, we will give some typical examples to demonstrate their advantages for 2D crystal structure prediction. Finally, the future direct… Show more

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Cited by 26 publications
(14 citation statements)
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References 140 publications
(337 reference statements)
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“…This PSO algorithm has been proved as an efficient structure prediction method in many works. 34 The required structure relaxations were performed by PBE functional, as implemented in VASP code. In our PSO calculations, the population size is set to 48, and the number of generation was maintained at 30.…”
Section: Computational Detailsmentioning
confidence: 99%
“…This PSO algorithm has been proved as an efficient structure prediction method in many works. 34 The required structure relaxations were performed by PBE functional, as implemented in VASP code. In our PSO calculations, the population size is set to 48, and the number of generation was maintained at 30.…”
Section: Computational Detailsmentioning
confidence: 99%
“…The PSO method within the evolutionary scheme as implemented in the CALYPSO code [32] was employed to predict the low-energy structures of 2D Mg 3 C 2 monolayers. This method has been used to predict a number of 2D materials successfully [33]. In this PSO simulation, the population size and the number of generation were set to be 50 and 30, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Neither material is useful in electronics devices, which would require band gaps in between these two extremes. In the past, first-principles calculations based upon density functional theory (DFT) have been used to predict 2D materials comprised of main group atoms with a wide range of band gaps. Moreover, it has been hypothesized that, because graphene and h-BN both possess a honeycomb structure, it may be possible to synthesize an analogous layered hexagonal material containing boron, carbon, and nitrogen (h-BCN) with a band gap that can be tuned to a desired value. Previous studies have investigated h-BCN experimentally and theoretically. Within this laboratory experiment, students explore this hypothesis by performing DFT calculations.…”
Section: Introductionmentioning
confidence: 99%