High-Throughput Computational Screening of Two-Dimensional Semiconductors
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High-Throughput Computational Screening of Two-Dimensional Semiconductors Vei Wang,1, ∗ Yun-Ye Liang,2 Yoshiyuki Kawazoe,3 and Wen-Tong Geng4, † 1 Department of Applied Physics, Xi’an University of Technology, Xi’an 710054, China 2 Department of Physics, Shanghai Normal University, Shanghai 200234, China 3 New Industry Creation Hatchery Center, Tohoku University, Sendai, Miyagi 980-8579, Japan 4 School of Materials Science & Engineering, University of Science and Technology Beijing, Beijing 100083, China (Dated: February 7, 2020) By performing high-throughput calculations using density functional theory combined with a semiempirical van der Waals dispersion correction, we screen 97 direct- and 253 indirect-gap two dimensional nonmagnetic semiconductors from near 1000 monolayers according to the energetic, arXiv:1806.04285v4 [cond-mat.mes-hall] 6 Feb 2020 thermodynamic, mechanical and dynamic stability criterions. We present the calculated results including lattice constants, formation energy, Young’s modulus, Poisson’s ratio, shear modulus, band gap, band structure, ionization energy and electron affinity for all the candidates satisfying our criteria. I. INTRODUCTION GGA level.29 Nevertheless, it is well known that the semi- local density functionals such as GGA approach signifi- cantly overestimates the lattice constants of crystals hav- Since the successful isolation of graphene,1,2 two di- ing vdW bonds. A rough thumb rule is that if the relative mensional (2D) materials have attracted tremendous at- error in lattice constant a or b or c (experimental versus tentions due to their novel electronic, optical, thermal, PBE-calculated) of one bulk phase is larger than 5%, it and mechanical properties for potential applications in might have 2D structure. Another important database various fields. Due to the quantum confinement ef- for 2D materials was builded by Mounet et al.30 They fect, 2D materials often exhibit unique features, dif- chose the binding energy obtained by DFT calculations ferent from those of their bulk counterparts.3–13 For together with vdW correction, as the screening criterion examples, an unusual half-integer quantum Hall effect (≤ few tens of meV·Å−1 ) and identified more than 1800 was observed in graphene.5 The electronic properties structures. of transition-metal dichalcogenides (TMDCs) with MX2 There are several 2D crystals databases publicly avail- composition (where M = Mo or W and X = S, Se able nowadays.27,29–31 However, one of the major limi- or Te) can be tuned from metallic to semiconduct- tations ofthese databases mainly focus on the stability ing by controlling layer-thickness.4,6,13–15 The peculiar analysis to identify new stable structures using differ- puckered honeycomb structure of few-layer black phos- ent algorithms. Furthermore, they only provide the fun- phorus (phosphorene) leads to significant anisotropic damental physical properties such as lattice constants, electronic and optical properties on zigzag and arm- formation energy, exfoliation energy and band gap at chair directions.12,16,17 Remarkably, its band gap is also the GGA-level. It is well known that GGA can pro- thickness-dependent, varying from 0.3 eV in the bulk vide sufficiently accurate results on forces, structures, limit to ∼2.2 eV in a monolayer with a direct band and band dispersions, but underestimates band gaps, av- gap character. Other 2D materials, such as hexago- eragely 50%. A promising alternative approach is the nal boron nitride (h-BN),18 silicene,19–22 germanene,23,24 replacement of GGA functionals by hybrid functionals. stanene,25 also exhibit many exotic characteristics that By including part of the exchange energy in a nonlocal are absent in their bulk counterparts. manner in self-consistent calculations, they remedy the A common feature of 2D materials is that they are band gaps close to the experimental values.32–34 formed by stacking layers with strong in-plane bonds In this work, combined the high-throughput first- and weak van der Waals (vdW) like interlayer attrac- principles calculations with the existing 2D crystal struc- tion, allowing exfoliation into individual and atomically tural databases mentioned above, we chose the energetic, thin layers. Inspired by this feature, Inoshita et al. thermodynamic, mechanical and dynamic stabilities and screened the potential two-dimensional binary stoichio- conductivity type as criterions and screen around 350 2D metric electrides from the layered crystal structures by semiconductors from near 1000 structures. We presented performing first principles calculations based on the den- the lattice constants, formation energy, Young’s modu- sity functional theory (DFT) within the generalized gra- lus, Poisson’s ratio, band structures, phonon dispersions, dient approximation (GGA).26 Later, Ahston and co- effective masses of carriers at GGA level, as well asthe workers used a topology-scaling algorithm combining band gap, ionization energy and electron affinity for each high throughput calculationsm,27 to uncover more than candidate at hybrid DFT level. The remainder of this 800 monolayers based on the Materials Project crys- paper is organized as follows. In Sec. II, methodology tal structure databases28 . In parallel, Choudhary et al. and computational details are described. The details identified at least 1300 monolayers by comparing the of screening criteria are discussed in Sec. III. Sec. IV experimental lattice constants with those predicted at presents the calculations of structural, mechanical and
2 electronic properties. Finally, a short summary is given structure at PBE level to determine the accurate po- in Sec. V. sitions of both conduction-band minimum (CBM) and valence-band maximum (VBM) in the reciprocal space. It is well known that the PBE calculations provide suf- II. METHODOLOGY ficiently accurate results on forces (near equilibrium), structures and band dispersion, but underestimates band gaps. The HSE06 can well describes narrow or middle- A. Density functional calculations sized gap semiconductors, as long as their electronic structures are not strongly localized.33 Considering that Our total energy and electronic structure calculations the band structure calculations at HSE06 level is a rather were performed using the Vienna Ab initio Simula- time-consuming task, we only perform the static HSE06 tion Package (VASP).35,36 The electron-ion interaction calculation at irreducible k-point coordinates but in- was described using projector augmented wave (PAW) cludes the positions of both CBM and VBM to determine method37,38 and the exchange and correlation (XC) more accurate band gap Eg values at the PBE-calculated were treated with the generalized gradient approximation lattice constants. Finally, if the candidate is thermody- (GGA) in the Perdew Burke Ernzerhof (PBE) form39 . A namically, mechanically and dynamically stable and has cutoff energy of 400 eV was adopted for the plane wave a HSE06 calculated band gap value larger than zero eV, basis set, which yields total energies convergence better this means that it might be a potential 2D semiconduc- than 1 meV/atom. In addition, the non-bonding van der tor. The purpose of this work is to identify the candi- Waals (vdW) interaction is incorporated by employing a dates of 2D semiconductors through large-scale screening semi-empirical correction scheme of Grimme’s DFT-D2 of known materials, rather than to provide the most ac- method in this study unless otherwise stated, which has curate prediction of a specific 2D material. been successful in describing the geometries of various layered materials.40,41 In the slab model of 2D systems, periodic slabs were III. SCREENING CRITERIA separated by a vacuum layer of 20 Å in c direction to avoid mirror interactions. In sampling the Brillouin zone A. Thermodynamic Stability integrations, we used Monkhorst-Pack k -point meshes with a reciprocal space resolution of 2π×0.03 Å−1 .42 Thermodynamic stability describes the stability of a On geometry optimization, both the shapes and in- compound with respect to its decomposition into a set of ternal structural parameters of pristine unit-cells were competing phases, including elements and multicompo- fully relaxed until the residual force on each atom is nent compounds. To the best of our knowledge, three less than 0.01 eV/Å. Considering that the band gaps physical quantities are commonly use to evaluate the of semiconductors are severely underestimated by tra- thermodynamic stability of a free-standing 2D sheet, ditional density functional theory (DFT) calculations namely, exfoliation energy, energy convex hull and forma- with local or semilocal exchange-correlation function- tion energy. The exfoliation energy is the energy needed als, part of electronic structure calculations were also to exfoliate a monolayer from its bulk counterpart, which performed using the standard Heyd-Scuseria-Ernzerhof can evaluate the strength of interlayer bonds holding the (HSE06) hybrid functional, namely, the screening pa- layered bulk structure together. However, several 2D rameter µ=0.2 Å−1 and the Hartree-Fock (HF) mixing materials, such as borophene,47 lack any layered bulk parameter α=25% respectively.32–34,43–45 Electronic cal- structure from which they can be exfoliated. The en- culations at the HSE06 level were performed upon the ergy convex hull describes the competition between all PBE-calculated equilibrium geometries. different phases with the same compositions. Specifically, the phases above the convex hull have a tendency to de- compose into the ground state compounds phases on the B. High-Throughput Setting convex hull. The definition of the energy convex hull has the same problem as compared to the the exfolia- To screen the novel 2D semiconductors, we used the tion energy.48,49 For example, the synthesis of 2D sheets VASPKIT package46 as a high-throughput interface to by mechanical exfoliation implies that is an endother- pre-process the input files and post-process the calcu- mic process to break the interlayer bonds. This means lated data obtained by using VASP code. The overview that all 2D materials with respect to their corresponding of the screening process is presented in Fig. 1. Firstly, bulk counterparts naturally fall above the convex hulls. the code generates the other three input files (POTCAR, The formation energy is defined as the difference between KPOINTS, and INCAR) for a given structural POSCAR a material and its pure elemental constituents in their file. Then the spin-polarized structural-relaxation calcu- ground states to evaluate its stability in the thermody- lations at PBE-D2 level is performed to determine the namic limit, namely, magnetic ground state for each 2D material. If the can- X didate is nonmagnetic, we next perform the global band ∆Ef = Etot − nα µα , (1)
3 2D structure databases worth noting that the accuracy of the PBE functional for the heat of formation is only around 0.2 eV/atom on average.50 Considering that semi-local functionals such as PBE generally underestimate the formation energies Find the standard primitive cell of materials, especially for the layered materials. Thus, a universal threshold formation energy for the synthesis of 2D materials is not possible within the accuracy limits Perform spin-polarized calculation to optimize 2D structure at PBE level of the existing XC functionals. We note that the PBE- calculated formation energies of Si, Ge and Sn monolayer are higher than 0.6 eV/f.u but they have recently been No synthesized or isolated by exfoliation.22,23,25 In our high- Non-magnetic? For spintronic applications throughput screening process, we use a threshold of 1 Yes eV/formula-unit as an upper bound on sufficient thermo- dynamic stability for the synthesis and growth of free- Determine the locations of band edges (both VBM and CBM) at PBE level standing monolayers. Determine band gap at HSE06 level B. Mechanical Stability Semiconductor? Yes Mechanical stability describes the stability against de- formations or distortions in terms of strain. For a 2D Determine formation energy at PBE level Thermodynamic stability? crystal, the relationship between the elastic constants and moduli can be given based on the Hooke’s law under Yes in-plane stress condition,51 Determine elastic constants at PBE level Mechanical stability? σxx C11 C12 C16 εxx σyy = C12 C22 C26 εyy , Yes σxy C61 C62 C66 2εxy Determine phonon spectrum using DFPT at PBE level Dynamical stability? where C ij (i,j =1,2,6) is the in-plane stiffness tensor us- ing the standard Voigt notation: 1-xx, 2-yy, and 6-xy. Yes Generally, in first-principles calculations, the Cij can be Classify candidate based on symmetry and prototype obtained based on the energy-strain method,52,53 namely, FIG. 1. (Color online) Schematic representation of the funda- Eelastic (V, {εi }) = E(V, {εi }) − E (V0 , 0) mental steps needed to find two-dimensional semiconductors. 1 1 = C11 ε2xx + C22 ε2yy + C12 εxx εyy , 2 2 +2C16 εxx εxy + 2C26 εyy εxy + 2C66 ε2xy where Etot is the total energy of pristine 2D system (2) monolayer. n α is the number of atoms of species α and µα is the atomic chemical potential of species α which is where the tensile strain is defined as ε = a−a a , a and 0 equal to the total energy of per atom in its most stable a 0 are the lattice constants of the strained and strain-free elemental phase. A negative value of ∆Ef for a mate- structures. E (V, {εi }) and E (V0 , 0) are the total ener- rial means that the thermodynamic stability. In other gies of the equilibrium and distorted lattice cells, with words, any processes that drive the transformation or the volume of V and V0 , respectively. The elastic stabil- decomposition of the this material are prohibitive or ki- ity criterion of a crystalline structure requires the elastic netically slow. For a material to be thermodynamically energy, given by the quadratic form of Eq. 2, is always stable, it must have a negative formation energy not only positive in the harmonic approximation. with respect to the pure constituents but relative to all Obviously, the C ij is equal to the second partial deriva- possible competing phases. Thus, a negative formation tive of strain energy ES with respect to strain ε, and can energy is a necessary but insufficient piece of evidence be written as Cij = (1/S0 )(∂ 2 Eelastic /∂εi ∂εj ), where S0 for materials stability since the formation energy is the is the equilibrium area of the system. Therefore, the unit energy difference between a material and its pure elemen- of elastic stiffness constants for 2D materials is force per tal constituents. Considering that we mainly focus on the unit length (N/m). In order to calculate the elastic stiff- high throughput computational screening of 2D semicon- ness constants, the Eelastic as a function of ε in the strain ductors, we adopt the formation energy as the thermo- range -2% 6 ε 6 2% with an increment of 0.5% are in- dynamic stability criteria in our following study. It is vestigated. The number of independent elastic constants
4 depends on the symmetry of a 2D crystal. For exam- thermal stabilities is rather computationally expensive, ple, the hexagonal crystals have two but the oblique ones in our current study we use only the thermodynamic, have 6 independent elastic constants. The number of in- mechanical and dynamic stability criterions to screen the dependent elastic constants as well as the necessary and potential 2D materials. sufficient elastic stability conditions for 2D lattice types are summarized in Fig. 2.51,54 D. Semiconductor Screening C. Dynamic Stability The band gaps Eg of nonmagnetic semiconductors can be obtained as, The dynamic stability reflects the structural tolerance of a system against small atomic displacements, for ex- ample, due to the thermal motions. It can be deter- Eg = CBM − VBM , (3) mined by calculating the phonon dispersions of a mate- rial using either a finite displacement method55 or density where CBM and VBM are the Kohn-Sham eigenvalues functional perturbation theory56 . The dynamic stabil- of CBM and VBM respectively. It is known that DFT- ity of a material requires no imaginary phonon spectra GGA severely underestimates the band gap of semicon- existing in the phonon dispersions. For example, one ductors but yield similar dispersion curves as compared can find that no imaginary modes are observed in the to the hybrid DFT result. Thus, we first perform the phonon spectra of hexagonal MoS2 monolayer as showed global band structure with a fine resolution of 2π×0.008 in Fig. 3 (a), implying that it is dynamically stable. Å−1 (for example, a 59×59 kmesh for graphene), to lo- Otherwise, the material will undergo reconstructive or cate the positions of VBM and CBM for each potential martensitic phase transformations after a slight lattice candidate in the reciprocal-space at PBE level. Then we distortion upon it. We derived phonon dispersions us- calculate the values of both CBM and VBM at HSE06 ing the finite displacement approach as implemented in level. There are five typical 2D Bravais lattices, namely, the PHONOPY code.57 The force constants were derived hexagonal, square, rectangular, centered rectangular and from forces calculated on a supercell (both the lattice a oblique respectively. The Ball-and-stick models, Bril- and b larger than 20 Å) with atomic displacements of louin zones and suggested k-paths for these Bravais lat- 0.01 Å along the lattice vectors. tices adopted in our high-throughput calculations are It is worth mentioning that small negative spectra, i.e., presented in Fig. 4 and Table I. imaginary frequency near the Γ point is often observed in the phonon spectra of 2D systems. As an illustrated example, one can note that a small negative spectra near IV. RESULTS AND DISCUSSION the Γ point appears in borophene monolayer sheet in Fig. 3 (c) which has been synthesized by recent experiments.47 Based on the above criteria, 97 direct- and 253 indirect- Such small imaginary frequencies could be an artifact of gap 2D nonmagnetic semiconductors are screened from the convergence inaccuracy due to limited supercell size, near 1000 2D monolayers. The PBE-calculated lattice cutoff energy, or k-points; or they may reflect the actual constants, formation energy, Young’s modulus, Poisson’s lattice dynamical instability towards large wave undu- ratio, as well as HSE06-calculated band gap, ionization lations of 2D materials. It can possibly be eliminated energy and electron affinity for each candidate are listed by applying a small strain on the film or depositing the in the Supplemental Material. Furthermore, the clas- film onto a proper substrate.47,58 Thus, a candidate is sification of these possible 2D semiconductors is sum- still considered to be dynamically stable even if a tiny marized in Fig. 5. One can find that the most of imaginary frequency near the Γ point exists. It may 2D semiconductors are binary which is predominant by be worth mentioning here that the phonon criterion is AB2 structures. It should be pointed that transition- still a necessary but not sufficient condition to evince dy- metal dichalcogenides (TMDCs) is one of the most in- namic stability of the material. Since the phonon analysis teresting AB2 layered compounds and display a wide deals only with small atomic displacements and cannot range of important properties. The TMDCs monolayer to capture phase transitions coupled with complex lattice have three phases, namely, 2H (P-6m2), 1T (P-3m1) reconstructions.49 and 1T’ (P21 /m) respectively. Previous theoretical stud- Finally, the thermal stability reflects the resistance to ies predicted around 50 different transition-metal oxides decomposition at high temperatures (higher than room (TMOs) and TMDCs can remain stable as either 2H temperature), which can be evaluated by performing and/or 1T free-standing structures.59,60 Although part ab-initio molecular dynamics simulations (AIMD) over of these potential MX2 compounds are absent in their a long time and wide range of temperatures. Strictly bulk counterparts. For the sake of completeness, we speaking, a stable material should satisfy thermody- have also revisited the stability and electronic structure namic, mechanical, dynamic and thermal stabilities si- of TMOs and TMDCs with three possible phases (2H, multaneously. Considering that the determination of 1T and 1T’ respectively). Furthermore, the most of these
5 (a) Hexagonal (b) Square (c) Rectangular (d) Oblique Non-zero Zero Equal 1/2(C11-C12) C11 > 0, C11 > 0, C66 > 0, C11 > 0, C11 > 0, det(Cij) > 0, C11 > |C12| C11 > |C12| C66 > 0 C11C22 > C12C12 FIG. 2. Classification of crystal systems, independent elastic constants, elastic stability conditions for 2D materials. (a) (b) (c) (d) FIG. 3. (Color online) Calculated (a) and (c) phonon dispersion curves, projected density of states (b) and (d) for H-MoS2 and borophene sheet respectively. TABLE I. Fractional coordinates of the specific points in reciprocal space for the four nonequivalent two-dimensional Bravais lattices. Bravais Lattice Label and coordinates of specific points Bravais Lattice Label and coordinates of specific points Γ (0, 0) Γ (0, 0) Square X ( 12 , 0) Oblique X ( 12 , 0) M ( 12 , 12 ) Y (0, 12 ) Γ (0, 0) C ( 12 , 21 ) Hexagonal K (3, 3) 1 1 Oblique H (η, 1-ν)a M ( 2 , 0) 1 H1 (1-η, ν)a Rectangular Γ (0, 0) Rectangular X ( 12 , 0) Y (0, 2 )1 S ( 12 , 12 ) 1−acosγ/b 2sin2 γ , and γ < 90°. a 1 ηbcosγ η= ν= 2 − a
6 (a) Hexagonal (b) Square (c) Rectangular (d) Centered (e) Oblique Rectangular a2 2D Bravais γ a2 a1 lattice a2 a2 a2 γ γ γ γ a1 a1 a1 a1 2D Brillouin |a1|=|a2|, γ = 120o |a1|=|a2|, γ = 90o |a1|≠|a2|, γ = 90o |a2|cosγ=1/2|a1|, γ ≠ 90o |a1|≠|a2|, γ ≠ 90o zone M M X S X H1 K C X H1 X Y Γ H Γ C Suggested Γ Γ Γ Y H 2D k-paths Γ-M-K-Γ Γ-X-M-Γ Γ-X-S-Y-Γ Γ-X-H1-C-H-Γ Γ-X-H1-C-H-Y-Γ FIG. 4. (Color online) Overview of the five 2D Bravais lattices and corresponding Brillouin zones. The suggested k-paths for band structure are indicated in blue line. The primitive unit cell is indicated in green box. semiconducting candidates are found to have rectangular or hexagonal Bravais lattices, and their band gap mag- nitude is mainly concentrated between 1.0 eV and 3.0 ν(θ)/E(θ) = (S66 − S11 − S22 ) c2 s2 (5) eV. −S12 c4 + s4 + (S26 − S16 ) cs3 − c3 s , and A. Mechanical Properties 1/4G(θ) = (S11 + S22 − 2S12 ) c2 s2 + 2 , (6) S66 c2 − s2 /4 − (S16 − S26 ) c3 s − cs3 We compare our predicted data with available ex- perimental or theoretical reports. Up until now, sev- respectively, where s = sin(θ), c = cos(θ), and θ ∈ eral monolayers have been successfully exfoliated or [0, 2π] is the angle with respect to the +x axis. Sij = synthesized in the experiments, including graphene C−1 ij are elastic compliance constants. As an example, (P6/mmm),1 phosphorene (Pmna),12,16,17 borophene we present the orientation-dependent Youngs’s modulus (Cmmm),47 BN (P-6m2)18,61 , MoS2 (P-6m2)14 , TiS3 Y (θ), Poisson’s ratio ν(θ) and shear modulus G(θ) for (P2_1/m)62 . We summarize the calculated in-plane elas- phosphorene sheet in Fig. 6. One can find that the elastic tic stiffness constants, the minimum and maximum of prosperities of phosphorene show strong anisotropicity. Youngs’s modulus, shear modulus and Poisson’s ratio for these systems in Table II. One can find that our predicted results are well agreement with the available B. Electronic Properties experimental and theoretical data. For example, the PBE-calculated Young’s modulus and Poisson’s ratio of In addition to energy gap (Eg ), ionization energy (IE) graphene are 339 N/m and 0.17, in excellent agreement and electron affinity (EA) are important parameters for with the available values of 340 N/m and 0.186,63,64 re- any electronic material. They can be calculated by align- spectively. To investigate the elastic anisotropy of 2D ing VBM and CBM with respect to the vacuum level. materials, we also calculated the orientation-dependent The latter is also determined by aligning the planar- Young’s moduli Y (θ) and Poisson’s ratio ν(θ) and shear averaged Hartree potential within the layer with the vac- modulus G(θ) using the following formulae,65,66 uum region as illustrated in Fig. 7. We take graphene as an example and present its global band structure in Fig. 9 (a). It is clearly found that the band edges, i.e., both 1/E(θ) = S11 c4 + S22 s4 + 2S16 c3 s , (4) the VBM and CBM encounter at the K point (1/3, 1/3) +2S26 cs3 + (S66 + 2S12 ) c2 s2 to form the Dirac cone. By analyzing the projected band structure and the real-part of wave functions of band and edges in real space [Figs. 9 (b) and (d)], one can ob-
7 (a) (b) (c) (d) (e) (f) FIG. 5. (Color online) Classification of predicted two-dimensional semiconductors in term of (a) prototypes, (b) lattice type, (c) Youngs’s modulus, (d) Poisson’s ratio, (e) band gap character and (f) band gap magnitude. (a) (b) (c) FIG. 6. (Color online) Calculated orientation-dependent (a) Youngs’s modulus E(θ), (b) Poisson’s ratio ν(θ) and (c) shear modulus G(θ) for phosphorene respectively. TABLE II. PBE-calculated in-plane elastic stiffness constants, Youngs’s modulus Y (θ), shear modulus G(θ) (in units of N/m), and Poisson’s ratio ν(θ). For comparison purposes, the available theoretical or experimental values from the previous literature are also shown. C11 C22 C12 E(ϕ) G(ϕ) ν(ϕ) Systems Calc. Refs. Calc. Refs. Calc. Refs. Max Min Max Min Max Min Graphene 349 342 [67] 349 342 [67] 60 - 339 339 144 144 0.17 0.17 Phosphorene 106 105 [68] 34 26 [68] 22 18 [68] 92 29 28 17 0.63 0.08 BN 292 289 [67] 292 289 [67] 64 - 277 277 114 114 0.22 0.22 MoS2 131 124 [69] 131 124 [69] 33 - 122 122 49 49 0.26 0.26 TiS3 88 83 [69] 137 134 [69] 14 - 137 71 47 25 0.42 0.10
8 serve that the VBM and CBM to be derived from the C. Photocatalysis bonding π and anti-bonding π ∗ states respectively, due to the interaction of pz -pz orbitals of carbon atoms. In Hydrogen generation by photocatalytic water splitting addition, we also reproduce the semi-metallic character presents a promising method for solar energy conversion. of graphene, silicene and germanene, and stanene when 2D materials possess inherent advantages to improve ignored the effect of spin-orbit coupling. The HSE06 cal- photocatalytic performance for water splitting because of culated band gap of 1.61 eV for phosphorene, 5.70 eV their large surface-volume ratio and short diffusion dis- for h-BN, 2.13 eV for MoS2 and 1.15 eV for TiS3 , well tance for photo-generated electrons and holes.77–79 To agreement with previous reports.14,18,70,71 become a promising candidate semiconductor for water splitting, three basic conditions need to be satisfied si- multaneously: (i) the semiconductor must be insoluble Electron Vacuum level energy in an aqueous solution; (ii) sufficient band gap must ex- ceed the free energy of water splitting of 1.23 eV and be smaller than around 3 eV to enhance solar absorption; and (iii) proper band edge position must straddle the re- dox potentials of water,80 namely, the position of CBM IE EA WF must be more positive than the reduction potential of H+ /H2 (-4.44 eV at pH=0) and the VBM must be more than the oxidation potential (O2 /H2 ) (-5.67 eV at pH=0). The redox potentials depend on the pH value in the water splitting reaction. Specifically, the pH-dependent CBM reduction potential for H+ /H2 and oxidation potential EF for O2 /H2 are EH + /H2 = −4.44eV + pH · 0.059eV and red Eg EO2 /H2 O = −5.67eV + pH · 0.059eV respectively.81 ox VBM On the basis of these criteria, we extend the applica- tions of the photocatalysis screening procedure to the 2D semiconductors. We determine the band edge positions relative to the vacuum level using the HSE06 as schemat- ically shown in Fig. 7. Figure 11 compares the band edge FIG. 7. (Color online) Schematic diagram of ionization energy positions of 2D candidates for photocatalytic water split- IE, electron affinity EA and work function WF defined as the ting with the redox potentials at pH 0 or/and 7. Further VBM, CBM and Fermi level EF with respect to the vacuum details about the exact band edge values are given in the level. Supplemental Material. Our computations show excel- lent agreement with the previous reports. Interestingly, To analyze the anisotropic band dispersions near Zhang and co-workers reported that the semiconductors the VBM and CBM, we also provided the orientation- with indirect band gap character are more suitable for dependent effective mass m∗ (θ) and Fermi velocity νf (θ) photocatalytic activity because the presence of different of both holes and electrons for several candidates. As k-vectors for the CBM and VBM in such cases reduces illustrated examples, the PBE-calculated 2D polar rep- the possibility of recombination of photogenerated elec- resentation curves are presented in Fig. 10 respectively. trons and holes.82 One can find that both the effective mass and Fermi velocity curves at band edges for TiS3 monolayer show highly anisotropic. Specifically, the calculated m∗ along V. SUMMARY Γ-X and Γ-Y are 0.32 (1.52) m0 and 1.06 (0.38) m0 for hole (electron) in TiS3 monolayer, which are in good In conclusion, we identified 93 direct- and 253 indirect- agreement with previous results, 0.32 (1.47) m0 and 0.98 gap 2D nonmagnetic semiconductors from near 1000 2D (0.41) m0 .72 Interestingly, the anisotropy of Fermi ve- monolayers by performing high-throughput calculations locity curves show an opposite trend. The calculated together with density-functional theory. The calculated effective mass ratios of hole γh (mxh divided by myh ) and properties including lattice constants, formation energy, electron γe (mxe divided by mye ) are 0.30 and 4.00, re- Young’s modulus, Poisson’s ratio, band gap, band struc- spectively, which show large anisotropy of effective mass ture, ionization energy and electron affinity are available when shifting the propagation direction from 0◦ (along online for each candidate. x axis) to 90◦ (along y axis). In contrast, the effective mass of hole (electron) in MoS2 slightly increases from 0.54 (0.44) m0 along K-Γ to 0.61 (0.47) m0 along K-M ACKNOWLEDGMENTS due to the higher hexagonal symmetry. The Fermi veloc- ity of MoS2 monolayer is predicted to be around 0.5 × This work is supported by the support of Natural 105 m/s. Science Basic Research Plan in Shaanxi Province of
9 (a) (b) (c) (d) FIG. 8. (Color online) PBE calculated (a) global band structure in the vicinity of the Dirac point, (b) projected band structure, (c) projected density of states, and (d) real part of wave function for band edges in graphene. (a) (b) (c) (d) Wavefunction@CBM 3D Dirac cone Wavefunction@VBM FIG. 9. (Color online) PBE calculated (a) global band structure in the vicinity of the Dirac point, (b) projected band structure, (c) projected density of states, and (d) real part of wave function for band edges in graphene. China (Program No. 2017JM1008), National Natural 11604261) and by the Institute for Materials Research of Science Foundation of China (Grant Nos. 11904285 and Tohoku University for High Performance Computing.
10 (a) (b) (c) FIG. 10. (Color online) PBE calculated orientation-dependent effective masses (in units of electron mass m0 ) and Fermi velocity (in units of 105 m/s) of holes for (a, c) TiS3 and MoS2 and (b) electrons for TiS3 monolayers. The purple and blue lines indicate the effective mass and Fermi velocity curves, respectively. TABLE III. HSE06-calculated band gap, alignment of valence band maximum (VBM) and conduction band minimum (CBM) with respect to the vacuum level. For comparison purposes, the available theoretical values from the previous literature are also shown. Band gap (eV) Ionization energy (eV) Electron affinity (eV) Material Our work Literature Our work Literature Our work Literature Phosphorene 1.57 1.52 [73] -5.46 -5.43 [73] -3.89 -3.91 [73] BN 5.71 5.68 [74] -6.60 -6.56 [74] -0.89 -0.88 [74] MoS2 2.18 2.15 [74] -6.38 -6.33 [74] -4.20 -4.18 [74] WSe2 2.04 1.98 [75] -5.49 -5.82 [75] -3.45 -3.84 [75] TiS3 1.15 1.06 [76] -5.87 -5.34 [76] -4.72 -4.28 [76] ∗ wangvei@icloud.com. M. G. Spencer, M. Terrones, W. Windl, and J. E. Gold- † geng@ustb.edu.cn. berger, ACS Nano 7, 2898 (2013). 1 9 K. S. Novoselov, A. K. Geim, S. V. Morozov, D. Jiang, Q. Zeng, H. Wang, W. Fu, Y. Gong, W. Zhou, P. M. Y. Zhang, S. V. Dubonos, I. V. Grigorieva, and A. A. Ajayan, J. Lou, and Z. Liu, Small 11, 1868 (2015). 10 Firsov, Science 306, 666 (2004). S. Balendhran, S. Walia, H. Nili, S. Sriram, and 2 K. Novoselov, A. K. Geim, S. Morozov, D. Jiang, M. Kat- M. Bhaskaran, Small 11, 640 (2015). 11 snelson, I. Grigorieva, S. Dubonos, and A. Firsov, Nature X. Wang, A. M. Jones, K. L. Seyler, V. Tran, Y. Jia, 438, 197 (2005). H. Zhao, H. Wang, L. Yang, X. Xu, and F. Xia, Nat. 3 L. Song, Z. Liu, A. L. M. Reddy, N. T. Narayanan, J. Taha- Nano. 10, 517 (2015). 12 Tijerina, J. Peng, G. Gao, J. Lou, R. Vajtai, and P. M. H. Liu, Y. Du, Y. Deng, and P. D. Ye, Chem. Soc. Rev. Ajayan, Adv. Mater. 24, 4878 (2012). 44, 2732 (2015). 4 13 Q. H. Wang, K. Kalantar-Zadeh, A. Kis, J. N. Coleman, H. Wang, H. Yuan, S. Sae Hong, Y. Li, and Y. Cui, Chem. and M. S. Strano, Nat. Nano. 7, 699 (2012). Soc. Rev. 44, 2664 (2015). 5 14 Y. Zhang, Y.-W. Tan, H. L. Stormer, and P. Kim, Nature K. F. Mak, C. Lee, J. Hone, J. Shan, and T. F. Heinz, 438, 201 (2005). Phys. Rev. Lett. 105, 136805 (2010). 6 15 M. Chhowalla, H. S. Shin, G. Eda, L.-J. Li, K. P. Loh, and S. Manzeli, D. Ovchinnikov, D. Pasquier, O. V. Yazyev, H. Zhang, Nat. Chem. 5, 263 (2013). and A. Kis, Nat. Rev. Mater. 2, 17033 (2017). 7 16 M. Xu, T. Liang, M. Shi, and H. Chen, Chem. Rev. 113, L. Li, Y. Yu, G. J. Ye, Q. Ge, X. Ou, H. Wu, D. Feng, X. H. 3766 (2013). Chen, and Y. Zhang, Nat. Nanotechnol. 9, 372 (2014). 8 17 S. Z. Butler, S. M. Hollen, L. Cao, Y. Cui, J. A. Gupta, H. Liu, A. T. Neal, Z. Zhu, Z. Luo, X. Xu, D. Tománek, H. R. Gutiérrez, T. F. Heinz, S. S. Hong, J. Huang, A. F. and P. D. Ye, ACS Nano 8, 4033 (2014). 18 Ismach, E. Johnston-Halperin, M. Kuno, V. V. Plashnitsa, K. Watanabe, T. Taniguchi, and H. Kanda, Nat. Mater. R. D. Robinson, R. S. Ruoff, S. Salahuddin, J. Shan, L. Shi, 3, 404 (2004).
11 (a) 0 TeRhCl (Pm) PdS2 (P1) GeP (P-6m2) InSe (P3m1) SiP (P-6m2) SnP (P-6m2) PtSe2 (Pm) RuSe2 (Pm) RhBr3 (P1) Bi2Se3 (Pm) MoS2 (P3m1) Sb2S3 (Pm) PPdSe (P1) PPdS (P1) ZrBrN (Pmmn) CuTe2Br (P1) OsSe2 (P2_1/m) PtSe2 (P3m1) Bi2Te2Se (P3m1) Bi2Te2S (P3m1) Nb3TeCl7 (P3m1) Ta3SeI7 (P3m1) −2 Energy level (eV) −4 H+/H2 pH=0 O2/H2O 1.7 1.4 −6 I 1.6 1.7 1.8 I 2.0 1.8 I 1.5 1.4 I 1.7 D 2.2 2.2 I 2.2 2.2 2.2 1.9 1.9 I I D I 2.3 D I I I I I 2.1 2.3 I I I I 2.9 2.9 I D −8 (b) (c) 0 0 SiP2 (Pm) AsI3 (P1) AlSiTe3 (Cm) As (P-3m1) P (P-3m1) PtI2 (P1) TaI2O (Pm) GaTe (P-6m2) SiAs (P-6m2) PdSe2 (P1) WS2 (P3m1) P4Se5 (P1) Al3Te3I (Pm) GaSe (P-6m2) MoSe2 (P3m1) MgPSe3 (P1) As4S3 (P2_1/m) PdSeO3 (P2_1/m) As (P1) P (Pmna) GeAs (P-6m2) InN (P1) TlPt2S3 (P1) SiH (P3m1) SnAs (P-6m2) RuTe2 (Pm) WSe2 (P3m1) Al2Te3 (P1) HfIN (P3m1) −2 −2 Energy level (eV) −4 H+/H pH=7 2 −4 H+/H 2 pH=7 O2/H2O pH=0 O2/H2O 1.8 2.0 1.2 2.4 −6 2.2 2.1 2.1 2.0 2.2 2.5 I 2.7 1.4 1.6 I I I D 2.3 3.0 2.4 I D 1.6 1.6 D 2.8 1.7 I 2.0 I 1.7 2.4 2.7 I 2.5 D D I I −6 D I I I D I 2.7 I I 2.8 D 3.0 2.9 I I I D D −8 FIG. 11. (Color online) HSE06 calculated band edge positions of 2D candidates relative to the vacuum level for photocatalytic water splitting at (a) pH 0, (b) pH 7 and (c) pH 0-7. The redox potentials of water splitting at pH 0 (red dotted line) and pH 7 (green dashed line) are shown for comparison. 19 Y. Sugiyama, H. Okamoto, T. Mitsuoka, T. Morikawa, 1020 (2015). 26 K. Nakanishi, T. Ohta, and H. Nakano, JACS 132, 5946 T. Inoshita, S. Jeong, N. Hamada, and H. Hosono, Phys. (2010). Rev. X 4, 031023 (2014). 20 27 H. Okamoto, Y. Kumai, Y. Sugiyama, T. Mitsuoka, M. Ashton, J. Paul, S. B. Sinnott, and R. G. Hennig, K. Nakanishi, T. Ohta, H. Nozaki, S. Yamaguchi, S. Shirai, Phys. Rev. Lett. 118, 106101 (2017). 28 and H. Nakano, JACS 132, 2710 (2010). A. Jain, S. P. Ong, G. Hautier, W. Chen, W. D. Richards, 21 A. O?hare, F. Kusmartsev, and K. Kugel, Nano Lett. 12, S. Dacek, S. Cholia, D. Gunter, D. Skinner, G. Ceder, and 1045 (2012). K. A. Persson, APL Mater. 1, 011002 (2013). 22 29 P. Vogt, P. De Padova, C. Quaresima, J. Avila, K. Choudhary, I. Kalish, R. Beams, and F. Tavazza, Sci. E. Frantzeskakis, M. C. Asensio, A. Resta, B. Ealet, and Rep. 7, 5179 (2017). 30 G. Le Lay, Phys. Rev. Lett. 108, 155501 (2012). N. Mounet, M. Gibertini, P. Schwaller, D. Campi, 23 E. Bianco, S. Butler, S. Jiang, O. D. Restrepo, W. Windl, A. Merkys, A. Marrazzo, T. Sohier, I. E. Castelli, A. Ce- and J. E. Goldberger, ACS Nano 7, 4414 (2013). pellotti, G. Pizzi, and N. Marzari, Nat. Nanotechnol. 13, 24 L. Li, S.-z. Lu, J. Pan, Z. Qin, Y.-q. Wang, Y. Wang, G.-y. 246 (2018). 31 Cao, S. Du, and H.-J. Gao, Adv. Mater. 26, 4820 (2014). P. M. Larsen, M. Pandey, M. Strange, and K. W. Jacob- 25 F.-f. Zhu, W.-j. Chen, Y. Xu, C.-l. Gao, D.-d. Guan, C.-h. sen, Phys. Rev. Materials 3, 034003 (2019). Liu, D. Qian, S.-C. Zhang, and J.-f. Jia, Nat. Mater. 14,
12 32 60 J. Heyd, G. E. Scuseria, and M. Ernzerhof, J. Chem. Phys. F. A. Rasmussen and K. S. Thygesen, J. Phys. Chem. C 118, 8207 (2003). 119, 13169 (2015). 33 61 A. V. Krukau, O. A. Vydrov, A. F. Izmaylov, and G. E. D. Pacilé, J. C. Meyer, Ç. Ö. Girit, and A. Zettl, Appl. Scuseria, J. Chem. Phys. 125, 224106 (2006). Phys. Lett. 92, 133107 (2008). 34 62 M. Marsman, J. Paier, A. Stroppa, and G. Kresse, J. J. O. Island, M. Barawi, R. Biele, A. Almazán, J. M. Cla- Phys.: Condens. Matter 20, 064201 (2008). magirand, J. R. Ares, C. Sánchez, H. S. J. van der Zant, 35 G. Kresse and J. Furthmüller, Phys. Rev. B 54, 11169 J. V. Álvarez, R. D’Agosta, I. J. Ferrer, and A. Castel- (1996). lanos?Gomez, Adv. Mater. 27, 2595 (2015). 36 63 G. Kresse and J. Furthmüller, Comput. Phys. Sci. 6, 15 C. Lee, X. Wei, J. W. Kysar, and J. Hone, Science 321, (1996). 385 (2008). 37 64 P. E. Blöchl, Phys. Rev. B 50, 17953 (1994). F. Liu, P. Ming, and J. Li, Phys. Rev. B 76, 064120 (2007). 38 65 G. Kresse and D. Joubert, Phys. Rev. B 59, 1758 (1999). C. Jasiukiewicz, T. Paszkiewicz, and S. Wolski, physica 39 J. P. Perdew, K. Burke, and M. Ernzerhof, Phys. Rev. status solidi (b) 245, 562 (2008). 66 Lett. 77, 3865 (1996). C. Jasiukiewicz, T. Paszkiewicz, and S. Wolski, physica 40 S. Grimme, J. Comput. Chem. 27, 1787 (2006). status solidi (b) 247, 1247 (2010). 41 67 T. Bučko, J. Hafner, S. Lebègue, and J. Ángyán, J. Phys. A. Falin, Q. Cai, E. J. G. Santos, D. Scullion, D. Qian, Chem. A 114, 11814 (2010). R. Zhang, Z. Yang, S. Huang, K. Watanabe, T. Taniguchi, 42 H. J. Monkhorst and J. D. Pack, Phys. Rev. B 13, 5188 M. R. Barnett, Y. Chen, R. S. Ruoff, and L. H. Li, Nat. (1976). Commun. 8, 15815 (2017). 43 68 A. D. Becke, J. Chem. Phys. 98, 1372 (1993). L. Wang, A. Kutana, X. Zou, and B. I. Yakobson, 44 J. P. Perdew, M. Ernzerhof, and K. Burke, J. Chem. Phys. Nanoscale 7, 9746 (2015). 69 105, 9982 (1996). J. Kang, H. Sahin, and F. M. Peeters, Phys. Chem. Chem. 45 J. Paier, M. Marsman, K. Hummer, G. Kresse, I. C. Ger- Phys. 17, 27742 (2015). 70 ber, and J. G. Angyan, J. Chem. Phys. 124, 154709 V. Wang, Y. Kawazoe, and W. T. Geng, Phys. Rev. B 91, (2006). 045433 (2015). 46 71 V. Wang, N. Xu, J.-C. Liu, G. Tang, and W. Geng, arXiv D. Jun, L. Ming, and Z. X. Cheng, WIREs Comput. Mol. preprint arXiv:1908.08269 (2019). Sci. 6, 211 (2016). 47 72 A. J. Mannix, X.-F. Zhou, B. Kiraly, J. D. Wood, D. Al- Y. Jin, X. Li, and J. Yang, Phys. Chem. Chem. Phys. 17, ducin, B. D. Myers, X. Liu, B. L. Fisher, U. Santiago, J. R. 18665 (2015). 73 Guest, M. J. Yacaman, A. Ponce, A. R. Oganov, M. C. Y. Cai, G. Zhang, and Y.-W. Zhang, Scientific Reports 4, Hersam, and N. P. Guisinger, Science 350, 1513 (2015). 6677 (2014). 48 74 J. T. Paul, A. K. Singh, Z. Dong, H. Zhuang, B. C. V. O. Özçelik, J. G. Azadani, C. Yang, S. J. Koester, and Revard, B. Rijal, M. Ashton, A. Linscheid, M. Blonsky, T. Low, Phys. Rev. B 94, 035125 (2016). 75 D. Gluhovic, J. Guo, and R. G. Hennig, J. Phys.: Con- J. Kang, S. Tongay, J. Zhou, J. Li, and J. Wu, Appl. Phys. dens. Matter 29, 473001 (2017). Lett. 102, 012111 (2013). 49 76 O. I. Malyi, K. V. Sopiha, and C. Persson, ACS Appl. J. Dai and X. C. Zeng, Angew. Chem. Int. Ed. 54, 7572 Mater. Interfaces 11, 24876 (2019). (2015). 50 77 M. Pandey and K. W. Jacobsen, Phys. Rev. B 91, 235201 A. K. Singh, K. Mathew, H. L. Zhuang, and R. G. Hennig, (2015). J. Phys. Chem. Lett. 6, 1087 (2015). 51 78 M. Maździarz, 2D Mater. 6, 048001 (2019). X. Zhang, Z. Zhang, D. Wu, X. Zhang, X. Zhao, and 52 L. D. Landau and E. M. Lifshitz, Course of Theoretical Z. Zhou, Small Methods 2, 1700359 (2018). 79 Physics Vol 7: Theory and Elasticity (Pergamon press, P. Ganguly, M. Harb, Z. Cao, L. Cavallo, A. Breen, 1959). S. Dervin, D. D. Dionysiou, and S. C. Pillai, ACS En- 53 Y. Le Page and P. Saxe, Phys. Rev. B 63, 174103 (2001). ergy Letters 4, 1687 (2019). 54 80 M. Born and K. Huang, “Dynamic theory of crystal lattice, M. G. Walter, E. L. Warren, J. R. McKone, S. W. clarendon,” (1954). Boettcher, Q. Mi, E. A. Santori, and N. S. Lewis, Chem. 55 K. Parlinski, Z. Q. Li, and Y. Kawazoe, Phys. Rev. Lett. Rev. 110, 6446 (2010). 81 78, 4063 (1997). V. Chakrapani, J. C. Angus, A. B. Anderson, S. D. Wolter, 56 S. Baroni, S. de Gironcoli, A. Dal Corso, and P. Giannozzi, B. R. Stoner, and G. U. Sumanasekera, Science 318, 1424 Rev. Mod. Phys. 73, 515 (2001). (2007). 57 82 A. Togo and I. Tanaka, Scr. Mater. 108, 1 (2015). P. Zhang, J. Zhang, and J. Gong, Chem. Soc. Rev. 43, 58 E. S. Penev, A. Kutana, and B. I. Yakobson, Nano Lett. 4395 (2014). 16, 2522 (2016). 59 C. Ataca, H. ?ahin, and S. Ciraci, J. Phys. Chem. C 116, 8983 (2012).
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