The Nature of the Interlayer Interaction in Bulk. and Few-Layer Phosphorus

Similar documents
Quantum Monte Carlo Benchmarks Density Functionals: Si Defects

Van der Waals interaction in a boron nitride bilayer

New applications of Diffusion Quantum Monte Carlo

Van der Waals interaction in BN bilayer

Atomic Models for Anionic Ligand Passivation of Cation- Rich Surfaces of IV-VI, II-VI, and III-V Colloidal Quantum Dots

Defects in TiO 2 Crystals

SUPPLEMENTARY INFORMATION

Supporting Information Tuning Local Electronic Structure of Single Layer MoS2 through Defect Engineering

Experiment Section Fig. S1 Fig. S2

SnO 2 Physical and Chemical Properties due to the Impurity Doping

Binding energy of bilayer graphene and Electronic properties of oligoynes

An Overview of Quantum Monte Carlo Methods. David M. Ceperley

Structural properties and enthalpy of formation of magnesium hydride from quantum Monte Carlo calculations

Selectivity in the initial C-H bond cleavage of n-butane on PdO(101)

QMC dissociation energy of the water dimer: Time step errors and backflow calculations

MgO-decorated carbon nanotubes for CO 2 adsorption: first principles calculations

Supporting Information. Don-Hyung Ha, Liane M. Moreau, Clive R. Bealing, Haitao Zhang, Richard G. Hennig, and. Richard D.

Supporting Information

Supplementary Figure 1(a) The trajectory of the levitated pyrolytic graphite test sample (blue curve) and

Ab initio calculations of the cohesive energy and the bulk modulus of Aluminium

Chromium Cluster on Defected Graphene

CO Adsorption Site Preference on Platinum: Charge Is the Essence

Explaining the apparent arbitrariness of the LDA-1/2 self-energy. correction method applied to purely covalent systems

Kevin Driver 1 Shuai Zhang 1 Burkhard Militzer 1 R. E. Cohen 2.

Fixed-Node quantum Monte Carlo for Chemistry

Curvature-enhanced Spin-orbit Coupling and Spinterface Effect in Fullerene-based Spin Valves

arxiv: v1 [cond-mat.mes-hall] 23 Oct 2014

Supporting Online Material for

Supplementary Information

arxiv: v1 [cond-mat.mes-hall] 15 Aug 2014

Theoretical study of electronic and atomic structures of (MnO)n

Our first-principles calculations were performed using the Vienna Ab Initio Simulation

Independent electrons in an effective potential

Energy-Level Alignment at the Interface of Graphene Fluoride and Boron Nitride Monolayers: An Investigation by Many-Body Perturbation Theory

AB INITIO SIMULATION OF GRAPHENE INTERACTION WITH SiO 2 SUBSTRATE FOR NANOELECTRONICS APPLICATION

DENSITY FUNCTIONAL THEORY FOR NON-THEORISTS JOHN P. PERDEW DEPARTMENTS OF PHYSICS AND CHEMISTRY TEMPLE UNIVERSITY

Quantum Monte Carlo calculations of the structural properties and the B1-B2 phase transition of MgO

and strong interlayer quantum confinement

QMC in the Apuan Alps IV Vallico Sotto, 28th July 2008

Binding energy of 2D materials using Quantum Monte Carlo

Supporting Information for. Graphene Nucleation on a Surface-MoltenCopperCatalyst: Quantum Chemical Molecular Dynamics Simulations

Puckering and spin orbit interaction in nano-slabs

Anion-redox nanolithia cathodes for Li-ion batteries

Supplementary Materials for Oxygen-induced self-assembly of quaterphenyl molecule on metal surfaces

1. Hydrogen atom in a box

Quantum Monte Carlo Calculation of the Binding Energy of Bilayer Graphene

Supporting information. Realizing Two-Dimensional Magnetic Semiconductors with. Enhanced Curie Temperature by Antiaromatic Ring Based

Supporting information for: Novel Excitonic Solar Cells in Phosphorene-TiO 2. Heterostructures with Extraordinary Charge. Separation Efficiency

Supporting Information for

Many-body electronic structure theory: Is Quantum Monte-Carlo affordable for molecular crystals?

Outline. Introduction: graphene. Adsorption on graphene: - Chemisorption - Physisorption. Summary

Comparison of various abinitio codes used in periodic calculations

Electron Emission from Diamondoids: a DMC Study. Neil D. Drummond Andrew J. Williamson Richard J. Needs and Giulia Galli

Exchange Correlation Functional Investigation of RT-TDDFT on a Sodium Chloride. Dimer. Philip Straughn

Facet engineered Ag 3 PO 4 for efficient water photooxidation

Quantum Monte Carlo backflow calculations of benzene dimers

Yuan Ping 1,2,3*, Robert J. Nielsen 1,2, William A. Goddard III 1,2*

A Tunable, Strain-Controlled Nanoporous MoS 2 Filter for Water Desalination

University of Chinese Academy of Sciences, Beijing , People s Republic of China,

Supporting Information for. Revealing Surface Elemental Composition and Dynamic Processes

The QMC Petascale Project

Pseudopotentials: design, testing, typical errors

Supplementary Information: Construction of Hypothetical MOFs using a Graph Theoretical Approach. Peter G. Boyd and Tom K. Woo*

Defects in Semiconductors

Nature of the Metalization Transition in Solid Hydrogen

Supporting information for

Self-consistent implementation of meta-gga exchange-correlation functionals within the ONETEP linear-scaling DFT code

Introduction to DFT and its Application to Defects in Semiconductors

Pseudopotentials for hybrid density functionals and SCAN

Random phase approximation and the finite size errors in many body simulations

Electronic structure of solid FeO at high pressures by quantum Monte Carlo methods

Electronic Structure Calculations, Density Functional Theory and its Modern Implementations

Quantum Monte Carlo study of the ground state of the two-dimensional Fermi fluid

STRUCTURAL AND MECHANICAL PROPERTIES OF AMORPHOUS SILICON: AB-INITIO AND CLASSICAL MOLECULAR DYNAMICS STUDY

Supporting Information for. Dynamics Study"

Supporting information for. Stacking dependent electronic structure and optical properties of bilayer. black phosphorus

Quantum Monte Carlo methods

CLIMBING THE LADDER OF DENSITY FUNCTIONAL APPROXIMATIONS JOHN P. PERDEW DEPARTMENT OF PHYSICS TEMPLE UNIVERSITY PHILADELPHIA, PA 19122

Periodic DFT Study of Molecular Crystals

High-Pressure Equation of State of Cesium Fluoride to 120 GPa

Van der Waals Interactions Between Thin Metallic Wires and Layers

Interaction between a single-molecule

Growth Mechanism of Hexagonal Shape Graphene Flakes with Zigzag Edges. Johnson, *

Self-consistent implementation of meta-gga exchange-correlation functionals within the ONETEP linear-scaling DFT code

Auxiliary-field quantum Monte Carlo calculations of excited states and strongly correlated systems

Supporting information for Polymer interactions with Reduced Graphene Oxide: Van der Waals binding energies of Benzene on defected Graphene

Optimization of quantum Monte Carlo (QMC) wave functions by energy minimization

ALMA: All-scale predictive design of heat management material structures

Supplementary Materials

Ab-initio study of MgSe self-interstitial (Mg i and Se i ) Emmanuel. Igumbor 12,a,Kingsley Obodo 1,b and Water E. Meyer 1,c

CO 2 abatement by two-dimensional MXene carbides

Anion-π and π-π cooperative interactions

Yali Liu, Pengfei Zhang, Junmin Liu, Tao Wang, Qisheng Huo, Li Yang, Lei. Sun,*, Zhen-An Qiao,*, and Sheng Dai *, ASSOCIATED CONTENT

DFT: Exchange-Correlation

Chris G. Van de Walle Materials Department, UCSB

Hydrogenation of Penta-Graphene Leads to Unexpected Large. Improvement in Thermal Conductivity

Atomic-scale studies of molecular functionalization of graphene

Supplementary Figure 1. HRTEM images of PtNi / Ni-B composite exposed to electron beam. The. scale bars are 5 nm.

Towards a systematic assessment of errors in diffusion Monte Carlo calculations of semiconductors: case study of zinc selenide and zinc oxide

Supplementary Figure 1 Two-dimensional map of the spin-orbit coupling correction to the scalar-relativistic DFT/LDA band gap. The calculations were

Transcription:

Supporting Information for: The Nature of the Interlayer Interaction in Bulk and Few-Layer Phosphorus L. Shulenburger, A.D. Baczewski, Z. Zhu, J. Guan, and D. Tománek, Sandia National Laboratories, Albuquerque, New Mexico 87185, United States Physics and Astronomy Department, Michigan State University, East Lansing, Michigan 48824, United States E-mail: tomanek@pa.msu.edu VASP calculations With the exception of the DFT calculations used to generate the trial wavefunctions for the Diffusion Monte Carlo (DMC) technique, all Density Functional Theory (DFT) results reported in the manuscript have been generated using the Vienna Ab Initio Software Package (VASP). S1 S3 The calculations were performed using the P GW Projector Augmented Wave (PAW) potentials for phosphorus taken from the 2012 PBE PAW set. VASP is able to reevaluate the PAW for use with other functionals, so the same PAW is used for all calculations. A plane wave cutoff of 500 ev was used for all calculations. Calculations on bulk phosphorus utilized a 12 12 6 Γ-centered k-point set, whereas calculations for the isolated slab and bilayers utilized a 12 12 1 k-point set. For isolated and bilayer geometries, the cell was 20 Å in the direction perpendicular to the layers (the c axis). Results were checked with a 40 Å cell and relative energies were found to be converged to less than 0.1 mev/atom. 1

Convergence of Finite-Size Effects in Quantum Monte Carlo One- and two-body finite size effects must be considered in both the bulk and planar periodic structures. One-body effects are corrected using canonical twist averaging, S4 while twobody effects are extrapolated. Controlling the two-body effects presents a challenge for extrapolation consistent with reports of calculations done on graphite. S5 For bulk systems, we consider two types of tilings for generating these supercells. We expect finite-size effects to converge more quickly when increasing the effective system size along the layering axis rather than in-plane. Consequently, we study two-body effects for 2 2 1, 3 3 1, 4 4 1, and 5 5 1 tilings (i.e., a single AB bilayer per supercell) and 2 2 2, 3 3 2, and 4 4 2 tilings (i.e., two AB bilayers per supercell). The peculiar nature of the electron correlation in two-dimensional systems such as black phosphorus, coupled with the mev accuracy required for this study, requires a slightly different procedure for assessing and reducing the two-body finite-size effects introduced by simulating a supercell with periodic boundary conditions. The procedures commonly used to achieve this either utilize a model interaction that removes spurious electron correlation, S6 analyze the behavior of the structure factor and two body Jastrow factor for small values or momentum transfer, S7 or utilize calculations with density functionals designed to mimic the energetics of the electron correlation in finite supercells. S8 As generally practiced, all of these procedures rely on the assumption that the electron correlation is isotropic, a condition that is grossly violated in a layered material like black phosphorus. This difficulty has been noted in previous quantum Monte Carlo (QMC) studies of layered materials, S5 where a combination of the KZK functional S8 was used for correlations in the plane, and an extrapolation scheme was used for correlations in the direction perpendicular to the planes. Our approach is to extend this methodology in two regards. Firstly, we utilize extrapolation in the size of the supercell to determine correlations both in plane and out of 2

Energy per atom (ev) 6. 6 4 0 5 6. 6 4 1 6. 6 4 1 5 6. 6 4 2 6. 6 4 2 5 6. 6 4 3 6. 6 4 3 5 6. 6 4 4 6. 6 4 4 5 6. 6 4 5 6. 6 4 5 5 0 0. 0 1 0. 0 2 0. 0 3 0. 0 4 0. 0 5 0. 0 6 Inverse distance between periodic copies of phosphorene sheets (1/Å) Figure S1: Energy per atom of black phosphorus as a function of the inverse of the shortest distance between periodic images of phosphorene sheets. The identical slope of the lines enforces consistency in the extrapolation for calculations, where the distance between adjacent sheets is varied. Figure S2 plane and secondly, because such extrapolations can introduce a significant amount of noise in the extrapolated quantities, we correlate the parameters of the extrapolations between systems with similar geometries. This is best illustrated looking at the extrapolation of the energy in the direction perpendicular to the phosphorene planes. This correlation may be expected to decrease with distance between the planes and also be a function of the number of layers simulated. To capture this, we extrapolate based on the total distance between images in the perpendicular direction and also require that the slope of the extrapolation be a simple function of the distance between the planes. The results of this procedure are shown in Figure S1, where the energy per atom for different supercells with different spacings between the phosphorene planes and different numbers of layers in the supercell are shown as a function of the inverse of the distance between the top and bottom of the supercell. All of these calculations had a 3 3 tiling of the primitive cell of phosphorus in the direction parallel to the planes and both the spacing between the layers and the number of copies of the supercell were varied. A similar procedure was used 3

to extrapolate to infinitely large supercells in the other direction. Numerical Considerations in QMC To control the computational cost, we verify that our choice of DMC time step satisfies a balance between efficient sampling and having a large time-step bias. In doing so, for each system we choose fixed, moderately sized supercells and perform short DMC runs using different time steps. A best-fit line is constructed for the energy as a function of the time step. We then use the largest time step that is within 1 mha/atom of the zero time-step extrapolated energy. We have found that a time step of 0.0075 a.u. is adequate to achieve this level of accuracy in all cases. Further, to control the memory required by the wave function, we assess the effect of enlarging the grid spacing associated with the B-spline representation of the Kohn-Sham orbitals relative to the equivalent real space grid used in the plane wave pseudopotential calculation, in which they have been generated. The convergence of the total energy, kinetic energy, and variance in the local energy are assessed in determining the appropriate grid spacing. Noting that the variance converges most slowly in the grid spacing, an enlargement factor of 4/3 preserves accuracy while reducing the memory used up in representing the wave function. Pseudopotential Generation and Testing Two different pseudopotentials were generated for this study, one treating 5 valence electrons and the other treating 13. Both pseudopotentials were generated using the opium pseudopotential generation code. S9 The benchmark quantities under consideration are the equilibrium properties of a phosphorus dimer and the ionization potential and electron affinity of an isolated phosphorus atom. In Table S1 we provide some atomic benchmarks. While the accuracy of the two pseu- 4

dopotentials relative to experiment is comparable for the ionization potential, the 5-electron pseudopotential performs worse for the electron affinity. Given the relatively primitive trial wavefunction used, these results should not be taken as conclusive. Still, we expect errors due to the nodal surface to cause inaccuracies of less than a few tenths of an ev. Table S1: Ionization potential and electron affinity of an isolated phosphorus atom computed using two different pseudopotentials. Experimental values for the ionization potential and electron affinity are taken from References S10 and S11, respectively. 5 electron 13 electron Experiment Ionization Potential 10.7112 ± 0.00084 10.6832 ± 0.0598 10.48669 Electron Affinity 0.6405 ± 0.0084 0.7483 ± 0.0626 0.746609 We also calculate the binding energy, atomization energy and vibrational frequency of the phosphorus dimer by determining the energy as a function of bond length. The results of these calculations for each pseudopotential and a fit to a Morse potential are shown in Figure S2. The corresponding resulting observables are summarized in Table S2. Table S2: Properties of phosphorus dimer computed using two different pseudopotentials. The experimental bond length, vibrational frequency and atomization energy are taken from references S12, S13 and S12, respectively. 5 electron 13 electron Experiment bond length (Å) 1.8618 ± 0.009 1.8824 ± 0.0018 1.89340 ± 0.00044 vibrational frequency (cm 1 ) 827.3 ± 9.4 851.7 ± 31.8 780.77 atomization energy (ev) 4.900 ± 0.001 4.894 ± 0.040 5.03 ± 0.02 While both the 5-electron and 13-electron pseudopotentials have similar accuracy relative to experiment, calculations using the potential with 13 electrons in the valence are nearly 100 times more expensive than those using the 5-electron potential. Therefore, its success in these metrics leads us to use the 5-electron pseudopotential for all remaining calculations on bulk phosphorus and phosphorene. 5

ΔE (ev/atom) -2.36-2.38 P 2 5 e 1 3 e -2.4 r -2.42-2.44-2.46-2.48-2.5-2.52 1.8 1.85 1.9 1.95 2 r (Å) Figure S2: Energy of a phosphorus dimer as a function of the bond length obtained Figure using S1 5- and 13-electron pseudopotentials. AA and AB Bilayer Energetics Here we provide binding curves for the same functionals presented in Figure 1 of the main manuscript for the AA-stacked bilayer. We are not surprised to find that all the functionals predict that the AB stacking is more stable than the AA stacking, and that all functionals predict that the AA stacking is metastable. The energy difference between the two stackings is generally underestimated relative to DMC. DMC also predicts that the change in the equilibrium interlayer spacing is larger than predicted by all DFT functionals. As in the main text of the paper, the sequence of LDA, PBE, TPSS, and PBE0 are presented to illustrate the effect of different treatments of exchange on increasing levels of the Jacob s ladder, S14 and that these functionals are not expected to get the correct interlayer binding without being augmented with vdw corrections. 6

(a) Bilayer black P (AA stacking) (b) Bilayer black P (AB stacking) 0.00 0.00 0.01 0.01 E (ev/atom) 0.02 0.03 0.04 0.05 LDA PBE TPSS PBE0 PBE+D2 PBE+D3 TS vdw DF2 vdw optb86b DMC E (ev/atom) 0.02 0.03 0.04 0.05 LDA PBE TPSS PBE0 PBE+D2 PBE+D3 TS vdw DF2 vdw optb86b DMC 0.06 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 d (Å) 0.06 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 d (Å) Figure S3: Binding energies of the AA (left) and AB (right) stackings of bilayer phosphorene for the same group of functionals assessed in the paper. References [S1] Kresse, G.; Furthmüller, J. Phys. Rev. B 1996, 54, 11169 11186. [S2] Kresse, G.; Furthmüller, J. Comp. Mat. Sci. 1996, 6, 15 50. [S3] Kresse, G.; Joubert, D. Phys. Rev. B 1999, 59, 1758 1775. [S4] Lin, C.; Zong, F.; Ceperley, D. Phys. Rev. E 2001, 64, 016702. [S5] Spanu, L.; Sorella, S.; Galli, G. Phys. Rev. Lett. 2009, 103, 196401. [S6] Fraser, L. M.; Foulkes, W. M. C.; Rajagopal, G.; Needs, R. J.; Kenny, S. D.; Williamson, A. J. Phys. Rev. B 1996, 53, 1814 1832. [S7] Chiesa, S.; Ceperley, D.; Martin, R.; Holzmann, M. Phys. Rev. Lett. 2006, 97, 076404. [S8] Kwee, H.; Zhang, S.; Krakauer, H. Phys. Rev. Lett. 2008, 100, 126404. [S9] Opium pseudopotential package, http://opium.sourceforge.net (accessed 19 October 2015). 7

[S10] Peláez, R. J.; Blondel, C.; Vandevraye, M.; Drag, C.; Delsart, C. J. Phys. B: At., Mol. Opt. Phys. 2011, 44, 195009. [S11] Svendenius, N. Phys. Scr. 1980, 22, 240 287. [S12] Huber, K.-P.; Herzberg, G. Constants of diatomic molecules; Van Nostrand Reinhold Company: New York, N.Y., USA, 1979. [S13] Irikura, K. K. J. Phys. Chem. Ref. Data 2007, 36, 389 397. [S14] Perdew, J. P.; Schmidt, K. Jacob s ladder of density functional approximations for the exchange-correlation energy. AIP Conference Proceedings. 2001; pp 1 20. 8