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First principles study on structural, electronic and optical properties of HfS2(1−x)Se2x and ZrS2(1−x)Se2x ternary alloys

Mohammadreza Razeghizadeh and Mahdi Pourfath*
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran 14395-515, Iran. E-mail: pourfath@ut.ac.ir

Received 24th March 2022 , Accepted 1st May 2022

First published on 11th May 2022


Abstract

Alloying 2D transition metal dichalcogenides (TMDs) with dopants to achieve ternary alloys is as an efficient and scalable solution for tuning the electronic and optical properties of two-dimensional materials. This study provides a comprehensive study on the electronic and optical properties of ternary HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) [0 ≤ x ≤ 1] alloys, by employing density functional theory calculations along with random phase approximation. Phonon dispersions were also obtained by using density functional perturbation theory. The results indicate that both of the studied ternary families are stable and the increase of Selenium concentration in HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) alloys results in a linear decrease of the electronic bandgap from 2.15 (ev) to 1.40 (ev) for HfS2(1−x)Se2(x) and 1.94 (ev) to 1.23 (ev) for ZrS2(1−x)Se2(x) based on the HSE06 functional. Increasing the Se concentration in the ternary alloys results in a red shift of the optical absorption spectra such that the main absorption peaks of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) cover a broad visible range from 3.153 to 2.607 eV and 2.405 to 1.908 eV, respectively. The studied materials appear to be excellent base materials for tunable electronic and optoelectronic devices in the visible range.


1 Introduction

The exploration of novel semiconductors with favorable electronic and optical properties1,2 is essential for the development of advanced optoelectronic devices, such as field effect transistors (FETs),3 photodetectors,4 phototransistors,5 solar cells,6 photovoltaics,7 memory devices,8 gas sensors,9,10 fiber lasers11 and photocatalysts.7 In recent years, two-dimensional (2D) materials have attracted the attention of many researchers, because of their rich physics and potential electronic and optoelectronic applications.2,12 Over the past decade, various 2D materials have been widely studied, including graphene,13 BN,14 transition metal dichalcogenides (TMDs or TMDCs)15 and phosphorene.16

Among 2D materials, TMDCs have been widely investigated17 due to the ease of fabrication,18 high carrier mobility19 and stability under environmental condition.20 The unit cell of a monolayer TMDC consists of one transition metal and two chalcogens.15 Each monolayer TMDC is made up of a set of three stacked layers: the lower chalcogen layer, the transition metal layer, and the upper chalcogen layer.15 2D ternary TMDCs with the inclusion of a third element have shown tunable properties.21–24 Despite the availability of various approaches, such as mechanical strain, stacking in the form of heterostructure and applying electric field for energy bandgap engineering,25,26 alloying 2D TMDCs appear as an efficient and scalable solution.27 Ternary TMDCs, such as MoS2(1−x)Se2x,28,29 WS2(1−x)Se2x,30 ReS2(1−x)Se2x31 and MoSe2xTe2(1−x),32 have shown distinct optical and electrical characteristics.

Hafnium dichalcogenides (HfX2, where X is a chalcogenide) are currently being studied by many groups, due to their interesting electronic and optical properties.33–35 Successful syntheses of HfX2 (X = S, Se) monolayers have been reported by using various techniques, including chemical vapor deposition,33 molecular beam epitaxy36 and ion beam-assisted process.37 Along with experimental studies, many theoretical investigations have been carried out to explore the properties of these materials. The electronic bandgaps of HfX2 (X = S, Se) in T-phase configuration are indirect38 with strong optical absorption peaks at 3.32 eV and 2.78 eV, respectively, for HfS2 and HfSe2.33 In contrast to other 2D materials, HfS2 has a much faster optical response.39 These excellent properties render HfS2 and HfSe2 monolayers as potential candidates for high performance electronic and optoelectronic applications such as photodetectors,40 phototransistors,34 solar cells,41 gas sensors42 and energy devices.43

Another focused material with fascinating properties in TMDC family is ZrX2 [X = S,Se].44,45 The electronic band structures of ZrX2 [X = S,Se] have been theoretically studied.46,47 On the experimental side, successful growth of ZrSxSe2−x [0 ≤ x ≤ 2] has been reported.48 Zirconium dichalcogenides have been investigated for broadband visible light photodetection49,50 and solar-cell devices.51

By the use of alloying, the electronic52,53 and optical21 properties of HfX2 and ZrX2 [X = S,Se] can be engineered. The electronic and optical properties of ternary compounds can be tuned for new generation of photovoltaic devices. Recently, bandgaps and optical properties of HfS2(1−x)Se2x33 and ZrSxSe2−x48 were experimentally explored. In this work, a comprehensive theoretical study on the electronic, phononic, and optical properties of ternary HfS2(1−x)Se2x and ZrS2(1−x)Se2x [0 ≤ x ≤ 1] alloys is presented. The results are compared with available experimental data. Electronic bandstructure and bandgaps, dielectric functions, absorption coefficients, refractive indexes and optical conductivity of all ternary alloys are calculated, by using both PBE and HSE06 functionals. Presented results provide a deep insight into the alloying effects on electronic and optical properties of the studied materials pave the way for realizing tunable optoelectronic devices.

2 Theory and approach

The density functional theory (DFT) calculations as implemented in the Vienna ab initio simulation package (VASP)54 were employed in this study. The exchange-correlation energy was calculated based on generalized gradient approximation (GGA) as parametrized by Perdew–Burke–Ernzerhof (PBE).55 A plane-wave cutoff energy of 500 eV was selected. All the structures, including the atomic positions and cell parameters, were fully optimized with the conjugate gradient method until the total energy becomes smaller than 10−5 eV and the force on each atom becomes smaller than 0.01 eV Å−1. A 10 × 10 × 1 k-point mesh, generated by the Monkhorst–Pack scheme56 was used for the Brillouin-zone sampling in k-space for relaxing the structures. To isolate monolayers, a vacuum space of at least 17 Å was set along the out-of-plane direction to guarantee negligible interactions between adjacent layers. The phonon dispersion relation was analyzed to confirm the stability of the HfS2 and HfSe2 within a 4 × 4 × 1 supercell, by using the phonopy code57 interfaced with the density functional perturbation theory (DFPT)58 as implemented in VASP.

To obtain optical properties of ternary HfS2(1−x)Se2x and ZrS2(1−x)Se2x, the real and imaginary parts of the dielectric constants ε(ω) = ε1(ω) + 2(ω) are evaluated. DFT calculations along with the random phase approximation (RPA)59 were used to evaluate the dielectric constants. A dense k-point mesh of 15 × 15 × 1 is used for the calculation of the imaginary part of frequency dependent dielectric function that is given by:60

 
image file: d2ra01905a-t1.tif(1)
where the indices α and β are the Cartesian components, vectors eα and eβ are the unit vectors along the respective component, c and v refer to conduction and valence band states, εck and εvk are the band-edge energies of conduction and valence bands and uck is the cell periodic part of the orbitals at some wave-vector k. The real part of the dielectric function is obtained by the Kramers–Kronig transformation as:60
 
image file: d2ra01905a-t2.tif(2)

The study of ternary XS2(1−x)Se2x [X = Hf,Zr] structures initiated by considering a 4 × 4 × 1 supercell of XS2 [X = Hf,Zr] monolayer that contains 16 X [X = Hf,Zr] and 32 S atoms (Fig. 2). Thereafter, 4, 8, 12, 16, 20, 24, 28, 32 S atoms were substituted with Se atoms as shown in Fig. 1. Various positions of Se atoms were carefully analyzed. The results indicate the position of the Se atoms does not affect the electronic and optical properties of the material. Therefore, S atoms were randomly substituted with Se atoms to obtain the desired ternary structure.


image file: d2ra01905a-f1.tif
Fig. 1 Atomic structures of ternary alloys (a) X16S32, (b) X16S28Se4, (c) X16S24Se8, (d) X16S20Se12, (e) X16S16Se16, (f) X16S12Se20, (g) X16S8Se24(h), X16S4Se28 and (i) X16Se32 [X = Hf,Zr].

image file: d2ra01905a-f2.tif
Fig. 2 (a) 3D view (b) top view (c), (d) side views of relaxed structure of a 4 × 4 × 1 supercell of XS2 [X = Hf,Zr].

Due to the difference in the Zr–S and Zr–Se bond lengths in ZrS2 and ZrSe2 and Hf–S and Hf–Se bond lengths in HfS2 and HfSe2, ZrS2(1−x)Se2x and HfS2(1−x)Se2x alloys host an intrinsic lattice strain61 that yield a stronger modification of the electronic and optical properties.

3 Results and discussion

The impact of alloying XS2 [X = Hf,Zr] monolayer with Se atoms on the electronic and optical properties of ternary XS2(1−x)Se2(x) [X = Hf,Zr] alloys are presented and discussed next.

3.1 Structural and phonon properties

The stability of XS2, XSe2 and ternary XS2(1−x)Se2(x) alloys [X = Hf,Zr] are proved in several theoretical and experimental studies.33,36,37,62 Here, vibrational properties of XS2 and XSe2 [X = Hf,Zr] are analyzed to confirm the structural stability. By using density functional perturbation theory (DFPT), the phonon dispersion around the high symmetry points of the BZ are calculated and illustrated in Fig. 3. The absence of negative frequencies in phonon dispersion is a strong indication of the stability of the studied materials. There are three acoustic and six optical branches in the four investigated compounds, because the unit cells include three atoms. By increasing the chalcogenide's atomic number from XS2 to XSe2 [X = Hf,Zr], the energies of optical branches are reduced. The acoustic branches around the high symmetry points of the BZ from the XS2 to XSe2 [X = Hf,Zr] are not affected, see Fig. 3(a)–(b) and Fig. 3(c)–(d).
image file: d2ra01905a-f3.tif
Fig. 3 Phonon dispersion of (a) 1T-HfS2, (b) 1T-HfSe2, (c) 1T-ZrS2, and (d) 1T-ZrSe2 monolayers.

3.2 Electronic properties

Fig. 4(a) compares the valence and conduction bands of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) with that of HfS2 and ZrS2 along the high symmetry paths of the BZ, calculated based on the PBE hybrid functional for x = 0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875 and 1. The electronic bandgaps for both studied material families become smaller as the concentration of impurities increase in the HfS2 and ZrS2 mono-layers. Supercells are employed to study minor crystal structure modifications, such as the introduction of defects, distortions, and dopants.63 In such cases, it is helpful to determine how the original electronic structure is preserved.63,64 For this aim, unfolding the band structure of the supercell to the primitive cell is essential. The KPROJ64 package was used to unfold the band structure of the 4 × 4 × 1 supercells (Fig. 1). Fig. 5(a)–(i) and 5(j)–(r) show the unfolded electronic bandstructures of ternary HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x), respectively. Also, folded band structures of all studied ternary alloys are plotted in Fig. S1 and S2 of the ESI.
image file: d2ra01905a-f4.tif
Fig. 4 The calculated valence and conduction bands of (a) HfS2(1−x)Se2(x) and (b) ZrS2(1−x)Se2(x) ternary alloys, by using PBE functional. The red dashed lines in the background show the undoped band structures of 4 × 4 × 1 super cells of HfS2 and ZrS2. The zero-energy point was set at the Fermi-level.

image file: d2ra01905a-f5.tif
Fig. 5 Unfolded electronic band-structures of HfS2(1−x)Se2x ((a)–(i)) and ZrS2(1−x)Se2x ((j)–(r)) ternary alloys. The zero energy point was set at the Fermi-level.

Electronic band structure calculations based on HSE06 is more accurate than that by the PBE exchange-correlation energy,28 but HSE06 is computationally much more demanding. PBE approach underestimates the bandgap values, see Fig. 6, however, the trend of results is in good agreement with the experimental data.33 Furthermore, experimental and ab initio calculations show that the bandgap varies nearly linearly with the composition parameter x for both HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) alloys.33,48 The calculated bandgaps, based on PBE and HSE06 functionals, along the lattice vectors of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) monolayers are reported in Table 1. Fig. 5 reveal that the valence band maximum (VBM) and the conduction band minimum (CBM) are located at the Γ- and M-points of the BZ for all HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) alloys, respectively. Indicating that alloying HfS2 and ZrS2 with Se atoms does not change the nature of the bandgap and they remain indirect. With the increase of Se dopants both VBM and CBM move toward each other for both studied alloys, which results in the decrease of the electronic bandgap.


image file: d2ra01905a-f6.tif
Fig. 6 The electronic bandgap variations of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) as functions of Se atoms concentration.
Table 1 Calculated relaxed lattice vectors (a,b) and electronic bandgap values for optimized HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) monolayers
Material Optimized lattice vectors (a = b) [Å] Bandgap PBE [eV] Bandgap HSE06 [eV]
HfS2 3.65 1.28 2.15
HfS2(1−0.125)Se2(0.125) 3.66 1.13 1.93
HfS2(1−0.25)Se2(0.25) 3.68 1.01 1.81
HfS2(1−0.375)Se2(0.375) 3.69 0.88 1.69
HfS2(1−0.50)Se2(0.50) 3.71 0.84 1.63
HfS2(1−0.625)Se2(0.625) 3.72 0.78 1.59
HfS2(1−0.75)Se2(0.75) 3.74 0.69 1.50
HfS2(1−0.875)Se2(0.875) 3.75 0.62 1.44
HfSe2 3.77 0.60 1.40
ZrS2 3.68 1.11 1.94
ZrS2(1−0.125)Se2(0.125) 3.70 0.97 1.77
ZrS2(1−0.25)Se2(0.25) 3.71 0.84 1.64
ZrS2(1−0.375)Se2(0.375) 3.72 0.74 1.54
ZrS2(1−0.50)Se2(0.50) 3.74 0.69 1.49
ZrS2(1−0.625)Se2(0.625) 3.75 0.63 1.43
ZrS2(1−0.75)Se2(0.75) 3.77 0.54 1.35
ZrS2(1−0.875)Se2(0.875) 3.78 0.47 1.28
ZrSe2 3.80 0.45 1.23


To discover the nature of the bandgap narrowing caused by the increase of selenium concentration, Bader charge, local electron function (ELF) and partial density of states (PDOS) analyses were performed. Selenium atomic radius is larger than that of sulfur and its electro-negativity is slightly smaller than that of sulfur that result in a larger bond length for Hf–Se bond. In the studied materials bond lengths for Hf–S and Hf–Se are 2.54 Å and 2.67 Å, respectively. A larger bond length along with a lower electro-negativity of selenium compared to sulfur, result in larger electron transfer between selenium and hafnium rather than sulfur. To ensure this, ELF of XS2, XSSe and XSe2 [X = Hf,Zr] are depicted in Fig. 7(a) and (b). As illustrated in Fig. 7(b1–b6) the X–S and X–Se [X = Hf,Zr] bonds are of ionic-covalent type, but the degree of covalent bonding is larger in X–Se [X = Hf,Zr] bond. As the electron attraction for Se atoms is smaller than that of S atoms, a larger electron cloud is observed around Se (Fig. 7(a1–a6)). Bader charge analysis of XS2, XSSe and XSe2 [X = Hf,Zr] (Table 2) indicate that charge losses of each X (Hf,Zr) atom and the gain of surrounding S and Se atoms for studied alloys. To relate the discussed charge transfer to the reduction of the bandgap, the contribution of orbitals to the bandstructure through PDOS is carefully investigated.


image file: d2ra01905a-f7.tif
Fig. 7 Cross sections of the electron localized function (ELF) of ternary mono-layers: (a1)–(a6) top views and (b1)–(b6) side views. Yellow, green, red and blue atoms represent Hf, Zr, S and Se respectively. Fig. (b1)–(b6) show that the Hf–S and Hf–Se bonds are covalent.
Table 2 Bader charge of the atomic sites in the XS2, XSSe and XSe2 [X = Hf,Zr] structures
Material Hf S Se
HfS2 +30.114 −30.114
HfSSe +29.38 −15.56 −13.82
HfSe2 +32.31 −32.31
ZrS2 +30.04 −30.04
ZrSSe +28.91 −15.29 −13.62
ZrSe2 +32.04 −32.04


Both the total density of states (TDOS) and PDOS of studied alloys are shown in Fig. S3 and S4 of the supplementary, in which the significant contribution of the S, Se and Hf to the valence-band and conduction-band states of HfS2(1−x)Se2(x) and contribution of the S, Se and Zr to the valence-band and conduction-band states of ZrS2(1−x)Se2(x) can be observed. The PDOS of HfS2(1−x)Se2(x) reveals that there is a strong hybridization between S(p), Se(p) and Hf(d) states. The top of the valence bands is mainly due to the contributions of S(p) while the bottom of the conduction band is mainly dominated by Hf(d) states. As selenium transfers more electrons from Se(p) to Hf(d) states than sulfur (Fig. 7(a)), the energy of Hf(d) states decreases with the increase of selenium concentration which in turn reduces the bandgap as illustrated in Fig. S3(a)–(i) of the supplementary. Similar discussion holds for ZrS2(1−x)Se2(x) alloys, see Fig. S4(a)–(i) of the supplementary.

Spin–orbit coupling (SOC) effect on electronic band structures of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) monolayers is illustrated in Fig. 8(a)–(f). SOC has the least influence on HfS2 and ZrS2 electronic band-structures. As the selenium concentration increases, SOC lowers the bandgaps of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) ternary alloys. Furthermore, when the Se concentration increases, spin–orbit splitting in the highest valence band becomes larger in both studied ternary alloys. The bands in ZrX2 and HfX2 [X = S,Se] monolayers are degenerate due to inversion symmetry, whereas in XSSe [X = Hf,Zr] monolayers bands are no longer degenerate due to the lack of inversion symmetry.


image file: d2ra01905a-f8.tif
Fig. 8 Band structures of (a) HfS2 (b) HfSSe (c) HfSe2 (d) ZrS2 (e) ZrSSe (f) ZrSe2 with and without spin–orbit coupling in the unit cell.

3.3 Optical properties

The optical properties of a material is accurately described by the complex dielectric function. Here, the imaginary part of dielectric function (ε2) is evaluated based on eqn (1), by using RPA in DFT calculations. Although RPA underestimates the screening in terms of dielectric function magnitude, this is often canceled by the PBE exchange-correlation underestimation of the bandgap.65 The real part (ε1) of the complex dielectric function is related to the imaginary part through the Kramers–Kronig relation (eqn (2)). Fig. 9(a) and 10(a) illustrate the real and imaginary parts of the complex dielectric functions for ternary HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) alloys, respectively. The main peak of the imaginary part of HfS2 appears around 3.05 eV and is red-shifted by the substitutions of S atoms with Se dopants that can be explained by the reduction of the bandgap. Similarly, the peaks of ZrS2(1−x)Se2(x) redshifts from 2.30 eV (x = 0) to 1.74 eV (x = 1).
image file: d2ra01905a-f9.tif
Fig. 9 (a) The real and imaginary parts of the dielectric function. (b) The comparison between experimental (black line)33 and calculated absorption coefficients (red line). (c) The refractive index and (d) the optical conductivity for HfS2(1−x)Se2(x) ternary alloys.

image file: d2ra01905a-f10.tif
Fig. 10 (a) The real and imaginary parts of the dielectric function. (b) The calculated absorption coefficients. (c) The refractive index and (d) the optical conductivity for ZrS2(1−x)Se2(x) ternary alloys.

The optical absorption and refractive index can be calculated from the complex dielectric function:66,67

 
image file: d2ra01905a-t3.tif(3)
 
image file: d2ra01905a-t4.tif(4)

The calculated optical absorption coefficients and refractive indices of HfS2(1−x)Se2(x) alloys are illustrated in Fig. 9(b) and (c), indicating that they cover a broad visible range from 3.153 to 2.607 eV. The calculated absorption coefficients are in good agreement with experimental results33 (Fig. 9(b)) that validates the accuracy of the utilized approach. The optical absorption coefficients as well as refractive indices of ZrS2(1−x)Se2(x) are depicted in Fig. 10(a) and (b). The absorption peaks of ZrS2(1−x)Se2(x) alloys are located in the visible range as well, but in contrast to HfS2(1−x)Se2(x) alloys, they occur at lower energies: from 2.405 eV to 1.908 eV. Very good agreement of calculated absorption peak energies for studied alloys and available experimental data (Table 3) verifies the accuracy of the employed methodology.

Table 3 The comparison of the calculated and experimentally observed energies (in eV) of the optical absorption peaks of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) ternary alloys
Material This study Exp. in ref. 33,48
HfS2 3.153 3.323
HfS2(1−0.125)Se2(0.125) 3.135 3.279
HfS2(1−0.25)Se2(0.25) 3.056 3.218
HfS2(1−0.375)Se2(0.375) 2.968 3.089
HfS2(1−0.50)Se2(0.50) 2.872 3.092
HfS2(1−0.625)Se2(0.625) 2.788 3.012
HfS2(1−0.75)Se2(0.75) 2.722 2.851
HfS2(1−0.875)Se2(0.875) 2.666 2.719
HfSe2 2.607 2.782
ZrS2 2.405 2.410
ZrS2(1−0.125)Se2(0.125) 2.392
ZrS2(1−0.25)Se2(0.25) 2.320
ZrS2(1−0.375)Se2(0.375) 2.210
ZrS2(1−0.50)Se2(0.50) 2.142 2.150
ZrS2(1−0.625)Se2(0.625) 2.054
ZrS2(1−0.75)Se2(0.75) 2.000 1.970
ZrS2(1−0.875)Se2(0.875) 1.928
ZrSe2 1.908 1.900


The optical conductivity is another convenient parameter to study the optical response of materials. The optical conductivity (σ) is given by:68

 
image file: d2ra01905a-t5.tif(5)

The optical conductivity directly depends on the absorption coefficient (α(ω)) and the refractive index (n(ω)) of the material, see Fig. 9(d) and 10(d). The first peaks of the optical conductivity appear at 2.45–3.10 eV (HfS2(1−x)Se2(x)) and 1.76–2.31 eV (ZrS2(1−x)Se2(x)). The optical absorption in a wide range of visible spectrum implies potential applications of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) layers for novel tunable electronic and optoelectronic devices. In another word, the ability to tune the bandgap and absorption spectrum with the Se concentration, render the studied materials as excellent candidates for third generation broadband photodetectors and solar cells.22,69,70

4 Conclusion

In summary, a comprehensive study on the structural, electronic and optical properties of ternary HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) [0 ≤ x ≤ 1] alloys is presented, by employing first-principle calculations. It is shown that alloying is an efficient way for tuning electronic and optical properties of HfS2 and ZrS2 monolayers. In agreement with experimental studies, it is shown that both studied alloys are stable since no negative frequencies are observed in phonon dispersions. The HSE06 and PBE calculated electronic bandgaps for both of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) ternary alloys stay indirect while the bandgap linearly decrease as the Selenium concentration increases. Bader charge, ELF and DOS analyses indicate that the bandgap narrowing caused by increase of selenium in ternary alloys that originate from the difference in the electro-negativity and bond lengths of sulfur and selenium. As the selenium concentration increase, the conduction band decreases and the bandgap is reduced as well. Spin–orbit coupling has a negligible effect on XS2 [X = Hf,Zr], but as the selenium concentration increases in ternary alloys, SOC results in further bandgap reduction of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) ternary alloys. Optical properties of both studied ternary materials such as absorption, refractive index and conductivity red shift with the increase of selenium concentration that can be used as a tuning method. The absorption peaks of HfS2(1−x)Se2(x) and ZrS2(1−x)Se2(x) cover a broad visible range: from 3.153 to 2.607 eV and 2.405 to 1.908 eV, respectively. The studied alloys are excellent and potential candidates for novel tunable electronic and optoelectronic devices in various applications such as photodetectors, gas sensors and solar cells.

Author contributions

Mahdi Pourfath contributed supervision and discussion.

Conflicts of interest

None.

Acknowledgements

This study was supported by the Super Computing Institute of the University of Tehran, Iran.

Notes and references

  1. J. Van Vechten and T. Bergstresser, Phys. Rev. B, 1970, 1, 3351 CrossRef .
  2. X. Wang, Y. Cui, T. Li, M. Lei, J. Li and Z. Wei, Adv. Opt. Mater., 2019, 7, 1801274 CrossRef .
  3. T. Kanazawa, T. Amemiya, V. Upadhyaya, A. Ishikawa, K. Tsuruta, T. Tanaka and Y. Miyamoto, IEEE Trans. Nanotechnol., 2017, 16, 582–587 CAS .
  4. R. Wadhwa, A. V. Agrawal and M. Kumar, J. Phys. D: Appl. Phys., 2021, 55, 063002 CrossRef .
  5. T. Kanazawa, T. Amemiya, A. Ishikawa, V. Upadhyaya, K. Tsuruta, T. Tanaka and Y. Miyamoto, Sci. Rep., 2016, 6, 22277 CrossRef CAS PubMed .
  6. K. Jiao, C. Duan, X. Wu, J. Chen, Y. Wang and Y. Chen, Phys. Chem. Chem. Phys., 2015, 17, 8182–8186 RSC .
  7. J. Zhang, X. Lang, Y. Zhu and Q. Jiang, Phys. Chem. Chem. Phys., 2018, 20, 17574–17582 RSC .
  8. N. Li, Y. Wang, H. Sun, J. Hu, M. Zheng, S. Ye, Q. Wang, Y. Li, D. He and J. Wang, Appl. Phys. Lett., 2020, 116, 063503 CrossRef CAS .
  9. G. Zhang, Z. Wang and X. Zhang, Mol. Phys., 2021, 120, e2018517 CrossRef .
  10. H. Cui, X. Zhang, Y. Li, D. Chen and Y. Zhang, Appl. Surf. Sci., 2019, 494, 859–866 CrossRef CAS .
  11. L. Pang, L. Li, W. Liu, R. Wu and Y. Lv, Opt. Mater., 2020, 102, 109784 CrossRef CAS .
  12. Z. Li, Y. Yao, T. Wang, K. Lu, P. Zhang, W. Zhang and J. Yin, Appl. Surf. Sci., 2019, 496, 143730 CrossRef CAS .
  13. K. S. Novoselov, A. K. Geim, S. V. Morozov, D. Jiang, Y. Zhang, S. V. Dubonos, I. V. Grigorieva and A. A. Firsov, science, 2004, 306, 666–669 CrossRef CAS PubMed .
  14. X. Ling, W. Fang, Y.-H. Lee, P. T. Araujo, X. Zhang, J. F. Rodriguez-Nieva, Y. Lin, J. Zhang, J. Kong and M. S. Dresselhaus, Nano Lett., 2014, 14, 3033–3040 CrossRef CAS PubMed .
  15. M. Chhowalla, H. S. Shin, G. Eda, L.-J. Li, K. P. Loh and H. Zhang, Nat. Chem., 2013, 5, 263–275 CrossRef PubMed .
  16. A. Khandelwal, K. Mani, M. H. Karigerasi and I. Lahiri, Mater. Sci. Eng. B, 2017, 221, 17–34 CrossRef CAS .
  17. F. A. Rasmussen and K. S. Thygesen, J. Phys. Chem. C, 2015, 119, 13169–13183 CrossRef CAS .
  18. S. Manzeli, D. Ovchinnikov, D. Pasquier, O. V. Yazyev and A. Kis, Nat. Rev. Mater., 2017, 2, 17033 CrossRef CAS .
  19. H. Li, J.-K. Huang, Y. Shi and L.-J. Li, Adv. Mater. Interfaces, 2019, 6, 1900220 CrossRef CAS .
  20. S. Yang, Understanding Environmental Stability of Two-Dimensional Materials And Extending Their Shelf Life by Surface Functionalization, Arizona State University, 2017 Search PubMed .
  21. K. Obodo, G. Gebreyesus, C. Ouma, J. Obodo, S. Ezeonu, D. Rai and B. Bouhafs, RSC Adv., 2020, 10, 15670–15676 RSC .
  22. L. Wang, P. Hu, Y. Long, Z. Liu and X. He, J. Mater. Chem. A, 2017, 5, 22855–22876 RSC .
  23. T. V. Vu, H. D. Tong, D. P. Tran, N. T. Binh, C. V. Nguyen, H. V. Phuc, H. M. Do and N. N. Hieu, RSC Adv., 2019, 9, 41058–41065 RSC .
  24. L. Du, C. Wang, J. Fang, B. Wei, W. Xiong, X. Wang, L. Ma, X. Wang, Z. Wei and C. Xia, et al., RSC Adv., 2019, 9, 14352–14359 RSC .
  25. J. Shang, S. Zhang, X. Cheng, Z. Wei and J. Li, RSC Adv., 2017, 7, 14625–14630 RSC .
  26. X. Yang, X. Qin, J. Luo, N. Abbas, J. Tang, Y. Li and K. Gu, RSC Adv., 2020, 10, 2615–2623 RSC .
  27. H. Taghinejad, D. A. Rehn, C. Muccianti, A. A. Eftekhar, M. Tian, T. Fan, X. Zhang, Y. Meng, Y. Chen and T.-V. Nguyen, ACS Nano, 2018, 12, 12795–12804 CrossRef CAS PubMed .
  28. B. Rajbanshi, S. Sarkar and P. Sarkar, Phys. Chem. Chem. Phys., 2015, 17, 26166–26174 RSC .
  29. W. Yao, Z. Kang, J. Deng, Y. Chen, Q. Song, X. L. Ding, F. Lu and W. Wang, RSC Adv., 2020, 10, 42172–42177 RSC .
  30. J. Mann, Q. Ma, P. M. Odenthal, M. Isarraraz, D. Le, E. Preciado, D. Barroso, K. Yamaguchi, G. von Son Palacio and A. Nguyen, Adv. Mater., 2014, 26, 1399–1404 CrossRef CAS PubMed .
  31. W. Wen, J. Lin, K. Suenaga, Y. Guo, Y. Zhu, H.-P. Hsu and L. Xie, Nanoscale, 2017, 9, 18275–18280 RSC .
  32. Z. U. Rehman, W. Zhu, S. Wang, Y. Niu, Z. Muhammad, O. Adetunji Moses, C. Wu, M. Habib, S. Chen and X. Wu, J. Phys. Chem. C, 2019, 123, 24927–24933 CrossRef CAS .
  33. D. Wang, X. Zhang, G. Guo, S. Gao, X. Li, J. Meng, Z. Yin, H. Liu, M. Gao and L. Cheng, Adv. Mater., 2018, 30, 1803285 CrossRef PubMed .
  34. K. Xu, Z. Wang, F. Wang, Y. Huang, F. Wang, L. Yin, C. Jiang and J. He, Adv. Mater., 2015, 27, 7881–7887 CrossRef CAS PubMed .
  35. P. Yan, G.-y. Gao, G.-q. Ding and D. Qin, RSC Adv., 2019, 9, 12394–12403 RSC .
  36. K. Aretouli, P. Tsipas, D. Tsoutsou, J. Marquez-Velasco, E. Xenogiannopoulou, S. Giamini, E. Vassalou, N. Kelaidis and A. Dimoulas, Appl. Phys. Lett., 2015, 106, 143105 CrossRef .
  37. H.-S. Tsai, J.-W. Liou, I. Setiyawati, K.-R. Chiang, C.-W. Chen, C.-C. Chi, Y.-L. Chueh, H. Ouyang, Y.-H. Tang and W.-Y. Woon, Adv. Mater. Interfaces, 2018, 5, 1701619 CrossRef .
  38. M. Traving, T. Seydel, L. Kipp, M. Skibowski, F. Starrost, E. Krasovskii, A. Perlov and W. Schattke, Phys. Rev. B, 2001, 63, 035107 CrossRef .
  39. K. Xu, Z. Wang, F. Wang, Y. Huang, F. Wang, L. Yin, C. Jiang and J. He, Adv. Mater., 2015, 27, 7881–7887 CrossRef CAS PubMed .
  40. D. Wang, J. Meng, X. Zhang, G. Guo, Z. Yin, H. Liu, L. Cheng, M. Gao, J. You and R. Wang, Chem. Mater., 2018, 30, 3819–3826 CrossRef CAS .
  41. D. Wang, X. Zhang and Z. Wang, J. Nanosci. Nanotechnol., 2018, 18, 7319–7334 CrossRef CAS .
  42. H. Cui, P. Jia and X. Peng, Appl. Surf. Sci., 2020, 513, 145863 CrossRef CAS .
  43. G. W. King’ori, C. N. Ouma, A. K. Mishra, G. O. Amolo and N. W. Makau, RSC Adv., 2020, 10, 30127–30138 RSC .
  44. H. Xiang, B. Xu, W. Zhao, Y. Xia, J. Yin, X. Zhang and Z. Liu, RSC Adv., 2019, 9, 13561–13566 RSC .
  45. D. Qin, X.-J. Ge, G.-q. Ding, G.-y. Gao and J.-T. Lü, RSC Adv., 2017, 7, 47243–47250 RSC .
  46. H. Jiang, J. Chem. Phys., 2011, 134, 204705 CrossRef PubMed .
  47. A. Ghafari, A. Boochani, C. Janowitz and R. Manzke, Phys. Rev. B, 2011, 84, 125205 CrossRef .
  48. M. Moustafa, T. Zandt, C. Janowitz and R. Manzke, Phys. Rev. B, 2009, 80, 035206 CrossRef .
  49. M. Mattinen, G. Popov, M. Vehkamaki, P. J. King, K. Mizohata, P. Jalkanen, J. Raisanen, M. Leskela and M. Ritala, Chem. Mater., 2019, 31, 5713–5724 CrossRef CAS .
  50. P. Chen, L. Zhang, R. Wang, J. Shang and S. Zhang, Chem. Phys. Lett., 2019, 734, 136703 CrossRef CAS .
  51. L. Li, H. Wang, X. Fang, T. Zhai, Y. Bando and D. Golberg, Energy Environ. Sci., 2011, 4, 2586–2590 RSC .
  52. X. Zhao, T. Wang, G. Wang, X. Dai, C. Xia and L. Yang, Appl. Surf. Sci., 2016, 383, 151–158 CrossRef CAS .
  53. X. Zhao, C. Yang, T. Wang, X. Ma, S. Wei and C. Xia, RSC Adv., 2017, 7, 52747–52754 RSC .
  54. G. Kresse and J. Furthmüller, Phys. Rev. B, 1996, 54, 11169 CrossRef CAS PubMed .
  55. J. P. Perdew, K. Burke and M. Ernzerhof, Phys. Rev. Lett., 1996, 77, 3865 CrossRef CAS PubMed .
  56. H. J. Monkhorst and J. D. Pack, Phys. Rev. B, 1976, 13, 5188 CrossRef .
  57. A. Togo and I. Tanaka, Scr. Mater., 2015, 108, 1–5 CrossRef CAS .
  58. X. Gonze and C. Lee, Phys. Rev. B, 1997, 55, 10355 CrossRef CAS .
  59. M. Gajdoš, K. Hummer, G. Kresse, J. Furthmüller and F. Bechstedt, Phys. Rev. B, 2006, 73, 045112 CrossRef .
  60. M. Gajdoš, K. Hummer, G. Kresse, J. Furthmüller and F. Bechstedt, Phys. Rev. B, 2006, 73, 045112 CrossRef .
  61. H. Li, H. Liu, L. Zhou, X. Wu, Y. Pan, W. Ji, B. Zheng, Q. Zhang, X. Zhuang and X. Zhu, ACS Nano, 2018, 12, 4853–4860 CrossRef CAS PubMed .
  62. M. Barhoumi, K. Lazaar, S. Bouzidi and M. Said, J. Mol. Graphics Modell., 2020, 96, 107511 CrossRef CAS PubMed .
  63. V. Popescu and A. Zunger, Phys. Rev. B, 2012, 85, 085201 CrossRef .
  64. M. Chen and M. Weinert, Phys. Rev. B, 2018, 98, 245421 CrossRef CAS .
  65. K. T. Winther, Quantum theory of plasmons in nanostructures, PhD thesis, Technical University of Denmark, 2015 Search PubMed .
  66. J. Wang, H. Shu, T. Zhao, P. Liang, N. Wang, D. Cao and X. Chen, Phys. Chem. Chem. Phys., 2018, 20, 18571–18578 RSC .
  67. S. Saha, T. Sinha and A. Mookerjee, Phys. Rev. B, 2000, 62, 8828 CrossRef CAS .
  68. J. I. Pankove, Optical processes in semiconductors, Courier Corporation, 1975 Search PubMed .
  69. T. Gao, Q. Zhang, L. Li, X. Zhou, L. Li, H. Li and T. Zhai, Adv. Opt. Mater., 2018, 6, 1800058 CrossRef .
  70. A. Chaves, J. Azadani, H. Alsalman, D. Da Costa, R. Frisenda, A. Chaves, S. H. Song, Y. Kim, D. He and J. Zhou, et al., npj 2D Mater. Appl., 2020, 4, 1–21 CrossRef .

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