Method Article

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

DOI:

10.3791/60180

October 12th, 2019

In This Article

Summary

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Calculations performed by the Vienna Ab initio Simulation Package can be used to identify the intrinsic electronic properties of nanoscale materials and predict the potential water-splitting photocatalysts.

Abstract

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Computational tools based on density-functional theory (DFT) enable the exploration of the qualitatively new, experimentally attainable nanoscale compounds for a targeted application. Theoretical simulations provide a profound understanding of the intrinsic electronic properties of functional materials. The goal of this protocol is to search for photocatalyst candidates by computational dissection. Photocatalytic applications require suitable band gaps, appropriate band edge positions relative to the redox potentials. Hybrid functionals can provide accurate values of these properties but are computationally expensive, whereas the results at the Perdew-Burke-Ernzerhof (PBE) functional level could be effective for suggesting strategies for band structure engineering via electric field and tensile strain aiming to enhance the photocatalytic performance. To illustrate this, in the present manuscript, the DFT based simulation tool VASP is used to investigate the band alignment of nanocomposites in combinations of nanotubes and nanoribbons in the ground state. To address the lifetime of photogenerated holes and electrons in the excited state, nonadiabatic dynamics calculations are needed.

Introduction

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The worldwide demand for clean and sustainable energy has spurred research for promising materials to reduce dependence on finite petroleum resources. Simulations are more efficient and economical than experiments in accelerating the search for new functional materials1. Material design from a theoretical perspective2,3,4 is now more and more popular due to rapid advances in computational resources and theory developments, making computational simulations more reliable5. The density functional theory (DFT) calculations implement....

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Protocol

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1. Optimize the atomic structure.

  1. Prepare four input files for structure relaxation calculation by VASP: INCAR, POSCAR, POTCAR, and KPOINTS.
    NOTE: There are specified parameters in the INCAR file that define the calculation. The line "EDIFFG = 0.02" in the INCAR file indicates that all atoms are relaxed until the force on each atom is <0.02 eV/Å. The POSCAR file contains the atomic geometry information. The initial lattice parameters in the POSCAR file can be chosen from theoretical3 or experimental references12,13. The KPOINTS file defines the k poin....

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Results

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Zigzag BN-NRs encapsulated inside armchair BN-NTs (11,11) were chosen as representative examples for a 1D vdW heterostructure. The lattice parameters were taken from Sahin et al.20. For convenience, zigzag NRs are abbreviated Zn, where n represents the III–V dimers along the width14. The encapsulation energy EL from step 2.3 was used as a rough estimate for the energetic stability of the nanocomposite. The EL values of Z2, Z3.......

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Discussion

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The calculations for electronic properties in sections 2, 3, and 4 would be similar among various nanoscale materials. The initial atomic model in step 1 should be carefully designed to extract meaningful information. For example, the factor for selecting the model could be the size or chirality of the materials. Also, the initial atomic model in step 1.1 should be reasonably prepared for low-cost structure relaxation. Taking the nanocomposite in the protocol as an example, the NR should be encapsulated inside the NT in .......

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Disclosures

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The authors have nothing to disclose.

Acknowledgements

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This work was supported from China Postdoctoral Science Foundation (Grant No. 2017M612348), Qingdao Postdoctoral Foundation (Grant No. 3002000-861805033070) and from the Young Talent Project at Ocean University of China (Grant No. 3002000-861701013151). The authors thank Miss Ya Chong Li for preparing the narration.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Nanotube ModelerDeveloped by Dr. Steffen WeberNanotubeModeler1.8http://www.jcrystal.com/products/wincnt/NanotubeModeler.exe
P4VASPOrest Dubayp4vasp 0.3.30Open source, available at www.p4vasp.at
v2xsfDeveloped by Dr. Jens Kunstmannv2xsfhttp://theory.chm.tu-dresden.de/~jk/software.html
VASP softwareComputational Materials Physics, Dept. of Physics, University of Viennavasp.5.4.1https://www.vasp.at
VMD softwareTheoretical and Computational Biophysics Group, University of Illinois at Urbana-Champaignvmd1.9.3https://www.ks.uiuc.edu/Research/vmd
xcrysdenDept. of Physical and Organic Chemistry, Jozef Stefan InstituteXCrySDen1.5.60http://www.xcrysden.org/
XmakemolDeveloped by M. P. Hodgesxmakemol5.16https://www.nongnu.org/xmakemol/XmakemolDownloads.html
Xmgrace softwareGrace Development Team under the coordination of Evgeny Stambulchikxmgrace5.1.25http://plasma-gate.weizmann.ac.il/Grace/

References

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  1. Collins, C., et al. Accelerated discovery of two crystal structure types in a complex inorganic phase field. Nature. 546 (7657), 280-284 (2017).
  2. Jain, A., Shin, Y., Persson, K. A. Computational predictions of energy materials using densit....

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Tags

Density Functional TheoryVASP SimulationBand Structure AnalysisEncapsulation EnergyElectronic PropertiesElectric Field ModulationTensile Strain Engineering

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