Interlayer-decoupled BiOX (X=Cl, Br, and I) sheets for photocatalytic water splitting: a computational study

Jun Zhang , Shu-lai Lei

Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (1) : 32 -35.

PDF
Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (1) : 32 -35. DOI: 10.1007/s11801-021-0057-y
Article

Interlayer-decoupled BiOX (X=Cl, Br, and I) sheets for photocatalytic water splitting: a computational study

Author information +
History +
PDF

Abstract

In this work, we comprehensively study the electronic and photocatalytic properties of single-layer and multilayer bismuth oxyhalides BiOX (X=Cl, Br, and I) sheets by means of extensive density functional theory, which have been successfully synthesized in the previous experimental studies. Our computational simulations show that single-layer BiOX sheets possess indirect band gap, suitable band edge alignments, and pronounced optical properties, suggesting that they can be utilized as photocatalysts for splitting H2O into H2 and O2 from theoretical aspects. In the case of multilayer BiOX sheets, some primary physical properties determined the photocatalytic performance are rather robust, almost independent of the layer number. According to these calculated results, we are optimistic that BiOX sheets, especially for single-layer BiOI, have great chances to be used for photocatalytic water splitting.

Cite this article

Download citation ▾
Jun Zhang, Shu-lai Lei. Interlayer-decoupled BiOX (X=Cl, Br, and I) sheets for photocatalytic water splitting: a computational study. Optoelectronics Letters, 2021, 17(1): 32-35 DOI:10.1007/s11801-021-0057-y

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

NovoselovKS, GeimAK, MorozovSV, JiangD, ZhangY, DubonosSV, GrigorievaIV, FirsovAA. Science, 2014, 306: 666

[2]

ZengM, XiaoY, LiuJ, YangK, FuL. Chem. Rev., 2018, 118: 6236

[3]

SinghAK, MathewK, ZhuangHL, HennigRG. J. Phys. Chem. Lett., 2015, 6: 1087

[4]

LiY, LiYL, SaB, AhujaR. Catal. Sci. Technol., 2017, 7: 545

[5]

WangJ, YangX, CaoJ, WangY, LiQ. Comput. Mater. Sci., 2018, 150: 432

[6]

LiH, LiJ, AiZ, JiaF, ZhangL. Angew. Chem. Int. Ed., 2018, 57: 122

[7]

LiH, ShangJ, AiZ, ZhangL. J. Am. Chem. Soc., 2015, 137: 6393

[8]

BhachuDS, MonizSJA, SathasivamS, ScanlonDO, WalshA, BawakedSM, MokhtarM, ObaidAY, ParkinIP, TangJ, CarmaltCJ. Chem. Sci., 2016, 7: 4832

[9]

ZhangL, HanZ, WangW, LiX, SuY, JiangD, LeiX, SunS. Chem. Eur. J., 2015, 21: 18089

[10]

DuanF, WangX, TanT, ChenM. Phys. Chem. Chem. Phys., 2016, 18: 6113

[11]

CuiS, ShanG, ZhuL. Appl. Catal. B Environ., 2017, 219: 249

[12]

BlöchlPE. Phys. Rev. B, 1994, 50: 17953

[13]

PerdewJP, BurkeK, ErnzerhofM. Phys. Rev. Lett., 1996, 77: 3865

[14]

MonkhorstHJ, PackJD. Phys. Rev. B, 1976, 13: 5188

[15]

ZhangL, TangZK, LauWM, YinWJ, HuSX, LiuLM. Phys. Chem. Chem. Phys., 2017, 19: 20968

[16]

ZhuangHL, HennigRG. Chem. Mater., 2013, 25: 3232

[17]

WangJ, MengJ, LiQ, YangJ. Phys. Chem. Chem. Phys., 2016, 18: 17029

AI Summary AI Mindmap
PDF

151

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/