Literature DB >> 34179616

Electron Transport of the Nanojunctions of (BN) n (n = 1-4) Linear Chains: A First-Principles Study.

Ying-Qin Zhao1, Jun-Qing Lan2, Cui-E Hu3, Yi Mu4, Xiang-Rong Chen1.   

Abstract

We applied the denpan class="Chemical">sity functionclass="Chemical">pan class="Chemical">al theory and nonequilibrium Green's function method (DFT + NEGF) to investigate the relationship between the conductance and chain length in the stretching process, the asymmetric coupling of contact points, and the influence of positive and negative biases on the electron transport properties of the nanojunctions formed by the coupling of (BN) n (n = 1-4) linear chains and Au(100)-3 × 3 semi-infinite electrodes. We find that the BN junction has the lowest stability and the (BN)2 junction has the highest stability. Under zero bias, the equilibrium conductance decreases as the chain length increases; px and py orbitals play a leading role in electron transport. In the bias range of -1.6 to 1.6 V, the current of the (BN) n (n = 1-4) linear chains increases linearly with increasing voltage. Under the same bias voltage, (BN)1 has the largest current, so its electron transport property is the best. The rectification effect reflects the asymmetry of the structure of BN linear chains themselves and the asymmetry of coupling with the Au electrode surfaces at both ends. With the chain length increasing, the transmission spectrum near E f is suppressed, the tunneling current decreases, and the rectification ratio increases. (BN)4 molecular junctions have the largest rectification ratio, reaching 13.32 when the bias voltage is 1.6 V. Additionally, the Au-N strong coupling is more conducive to the electron transport of the molecular chain than the Au-B weak coupling. Our calculations provide an important theoretical reference for the design and development of BN linear-chain nanodevices.
© 2021 The Authors. Published by American Chemical Society.

Entities:  

Year:  2021        PMID: 34179616      PMCID: PMC8223222          DOI: 10.1021/acsomega.1c00999

Source DB:  PubMed          Journal:  ACS Omega        ISSN: 2470-1343


Introduction

With the continuous innovation and improvement in technology of manipulating semiconductor nanodevices, the miniaturization of electronic components has become the current frontier of nanoresearch. Among many candidates, one-dimenpan class="Chemical">sionclass="Chemical">pan class="Chemical">al (1D) nanostructures, such as nanowires, nanochains, and nanotubes, are considered to be the final quantum conductors, and they can be used as components or nanoconnections of nanoelectronic devices in the future.[1,2] Their mechanical, optical, and electronic properties have been extensively studied.[3−5] The limit model of a one-dimensional conductor is the atomic chain. Experimental methods such as scanning tunneling microscopy (STM)[6] and the mechanically controllable break junction technique (MCBJ)[7] make it possible to synthesize and manipulate monoatomic chains. In 1998, Ohnish et pan class="Chemical">al.[8] and Yanson[8,9] made breakthrough class="Chemical">progress uclass="Chemical">pan class="Chemical">sing STM and MCBJ techniques: A stable gold monatomic chain was made and suspended between two Au electrodes. Subsequently, C,[10−12] Si,[13] S,[14] and other atomic chains are formed. Many novel properties of atomic chains, such as conductance quantization and even–odd conductance oscillations, have been discovered.[8,15−18] Due to the potential of atomic chains in miniaturization and multifunction of electronic devices, the electron transport properties of atomic nodes have attracted the interest of many researchers in experiments and theoretical calculations.[19] For example, Lang[20] first studied the relationship between the conductance of the Na atomic wire connected to the two electrodes and the number of atoms and found that as the length of the atomic chain changes, the conductance of the atomic wire oscillates with a period of two atoms. This phenomenon is also found in the atomic chains of Au, Pt, Ir, Al, and so on.[21−25] In addition to metal atomic chains, the chains of semiconductor or insulator materials have been extensively studied as well. There are related reports on the conductance of monatomic chains of C, Si, S, Ge, and Sn and binary compound molecular chains, such as InP, GaAs, AlSb, SiC, GaN, and AlN.[26−28] As an important III–V group inorganic nonpan class="Chemical">metallic matericlass="Chemical">pan class="Chemical">al, BN has a series of excellent physical and chemical properties and has potential applications in many aspects. With the continuous in-depth research on materials, the theoretical research and preparation technique of BN nanomaterials have also been vigorously developed. At present, in experiments, one-dimensional boron nitride nanowires (BNNWs) have been successfully synthesized.[29,30] BN chains have been fabricated by irradiating h-BN sheets with electron beams.[31,32] In terms of theory, Zhang et al.[33] constructed a series of periodic three-dimensional (3D) stereoscopic BN molecular structures and named them T-BN (x = 4n – 1, n = 1, 2, 3, ...); they calculated the electronic structures of these BN molecules based on the density functional theory (DFT) method through the VASP software package. Their results showed that these molecular structures composed entirely of nonmetallic atoms exhibit strong metallic properties. Based on the interest in these T-BN molecular units with novel properties, Wang et al.[34,35] constructed several 3D structures of BN molecular junctions and studied their electron transport properties. Furthermore, Zeng et al.[36] studied the electron transport properties of BN chains between two-dimensional (2D) metallic boronbenzene electrodes by nonequilibrium Green’s function. They found that when the BN chain was coupled to 2D borophene electrodes, it showed metallic characteristics, and its negative differential resistance (NDR) behavior was observed. Meanwhile, Xu et al.[37] showed that the BN linear chain has a rectification effect and negative differential resistance. However, the relationship between the conductance and chain length, the mechanical and electrical properties of molecular junctions in the stretching process, the asymmetric coupling of contact points, and the influence of positive and negative biases on the electron transport properties need to be further understood. Therefore, we believe that the theoretical simulation of the electron transport behavior of the linear BN molecular chain is very important for predicting or explaining the available experimental results. In this work, by applying the DFT[38] and pan class="Chemical">nonequilibrium Green’s function (NEGF) method,[39] we have systematicclass="Chemical">pan class="Chemical">ally studied the influence of chain length, the unequal contact on the conductivity, and the I–V characteristics of the BN linear chain sandwiched between Au electrodes. We have simulated the rupture processes of Au-(BN) (n = 1–4)-Au junctions and calculated the I–V characteristics at the equilibrium position. It is found that, in the bias range of −1.6 to 1.6 V, the current of the (BN) (n = 1–4) linear chains increases with increasing voltage.

Results and Discussion

Simulation of the Stretching Process

pan class="Chemical">Since the (class="Chemical">pan class="Chemical">BN) (n = 1–4) linear chain is connected to the two semi-infinite Au electrodes to form nanoscale junctions, the atomic interaction at the interface coupling will change, which will inevitably lead to a change in the structure of the junction. Therefore, the junction structure should be geometrically optimized before calculating the electronic transport. Taking into account the electrostatic shielding effect of the electrode, when the structure is optimized, all of the atoms of the electrodes are fixed except for the 1–2 atomic layers near the interface, so that the atoms between the two-pyramid bottoms can be fully relaxed and find their respective equilibrium positions. The distance between two-pyramid bottoms is defined as d (as shown in Figure ), and the binding energy of the junction is ΔE = E [Au-(BN)-Au]–E(Au leads)–E[(BN)]. The calculated relationship between ΔE of each junction and d is shown in Figure . In the figure, ΔE is represented by a red solid line and the ordinate corresponds to the right axis.
Figure 9

Model diagram of the (BN) (n = 1–4) linear chains sandwiched between two Au(100) electrodes.

Figure 1

Relationship between binding energy ΔE (eV) and conductance G (G0) with distance d (Å). ΔE represented by a red solid line, and the ordinate corresponds to the right axis. G is represented by a black solid line, and the ordinate corresponds to the left axis.

Relationship between binding energy ΔE (eV) and conductance G (G0) with distance d (Å). ΔE represented by a red solid line, and the ordinate corresponds to the right axis. G is represented by a black solid line, and the ordinate corresponds to the left axis. The curves of ΔE versus d for pan class="Chemical">all structures class="Chemical">present a class="Chemical">parabolic shaclass="Chemical">pe, which means that they class="Chemical">pan class="Chemical">all have the most stable equilibrium structure. For (BN) (n = 1–4) linear chains, their equilibrium distances are d = 12.631, 15.134, 17.728, and 20.598 Å for each n, respectively; the corresponding ΔE values of the junctions are −8.311, −9.161, −9.035, and −8.948 eV, showing that BN has the lowest stability and (BN)2 has the highest stability. For (BN)2-4, the molecular chain length increases and the stability of the system decreases. The calculated results of the bond lengths of B–N, Au–B, and Au–N for each equilibrium structure are shown in Table . It is observed from Table that the characteristics of the bond length oscillation are similar to the carbon atom chains with different lengths and terminations.[40−43] The average bond lengths of the B–N bonds are 1.267, 1.298, 1.302, and 1.303 Å, respectively, which are in good agreement with the theoretical and experimental results (1.300 and 1.310 Å)[31,44−46] as the length increases. It can be seen from Table that the optimized structures are almost symmetric about the center of the molecular chain, which is similar to the covalent coupling of the carbon monoatomic chain with Au electrodes.[47,48] Also, the short and long B–N bonds alternatively appear in the linear chains. As n enlarges, short bonds become longer and long bonds become shorter. This change is the result of different types of hybridization between the electronic states of the linear chains of different lengths and the electrode surface states.[49]
Table 1

Optimized Bond Lengths (Å) for (BN) (n = 1–4) Linear Chain Suspended between Au Electrodes

nAu-B1B1-N2N2-B3B3-N4N4-B5B5-N6N6-B7B7-N8N8-AuRBNav
12.0031.267      1.9321.267
22.0021.2711.3501.272    1.9181.298
31.9931.2771.3331.2781.3411.279  1. 9131.302
41.9891.2821.3271.2841.3261.2821.3371.2821.9111.303
cal.         1.300[4446]
exp.         1.31[31]
We cpan class="Chemical">alculated the conductance of each molecular chain at different distances d and obtained the result of the change of conductance G with d, as class="Chemical">pan class="Chemical">also shown in Figure . G is represented by a black solid line, and ΔE corresponds to the left axis. It can be seen from Figure that the variation of d is less than 4 Å which is very small (<1 nm). However, with an increase of d, the conductance value of the nanojunction changes significantly. It indicates that the distance d between the two electrodes is an important factor affecting the conductance of the structure. In other words, local atomic rearrangements have a great influence on the conductance of the junctions.[50,51] This is exactly the physical mechanism of the extremely high resolution of an electron scanning tunneling microscope. We noticed that the conductivity decreases with an increase of d. When d increases by 3.2 Å, the conductance suddenly decreases; at this time, the Au–B bond has been broken. When each junction of Au–(BN)–Au is in a stable equilibrium structure, the equilibrium conductances under zero-bias voltage are 0.228, 0.056, 0.027, and 0.011 G0. As the length of the linear chain increases, the conductivity reduces to almost half of the former. The decrease should be attributed to the weakening of hybridization at the molecular–electrode contact point when the molecular chain becomes longer. We did not find the even–odd conductance oscillations, and this phenomenon is not found in other linear chains.[28,37,52,53] The difference may be due to the different electrodes and geometric configurations used. Many studies have shown that when the distance d between two electrodes is less than 5 nm, the conductance decreases exponentipan class="Chemical">ally with an increase of d, namely, G = G0e, where β is the attenuation factor.[54−61] The vclass="Chemical">pan class="Chemical">alue of β largely depends on the type of molecule. It is generally considered that β ∼ 0.2 to 0.3 Å for conjugated molecules[54,55,58] and 0.5–1 Å for saturated molecules;[57] there are also some molecular systems with β values below 0.1 Å–1.[56,59−61][56,59−61] We calculate the β of (BN) linear molecular chains at equilibrium distances d under zero bias (see Figure ); the value of β is 0.986 Å, which is similar to the β values of saturated molecules.
Figure 2

Attenuation factor β vs equilibrium distances d under zero bias for (BN) (n = 1–4); β is the slope of the lines.

Attenuation factor β vs equilibrium distances d under zero bias for (pan class="Chemical">BN) (n = 1–4); β is the sloclass="Chemical">pe of the lines.

Transmission Spectra and Density of States (DOS)

We know that the properties of quantum transmispan class="Chemical">sion can be well exclass="Chemical">plained by the quantum transmisclass="Chemical">pan class="Chemical">sion spectrum, which reflects the coupling strength between the system and the electrode, and the transmission channel implies the coupling strength between the molecular orbital and the electrode energy band.[62] To understand the relationship between the equilibrium conductance of the BN linear chain and the increase of the chain length in more detail, we figured out the relationship between the transmission coefficient of the (BN) linear chains and the incident electron energy under zero bias, that is, the transmission spectrum T(E, V = 0); the result is shown in Figure . It can be seen that the four systems have an obvious resonance peak near the Fermi level Ef, and the Ef is set to zero in this article. When more BN molecules are added to the molecular chain, more interactions between atoms cause more independent transmission peaks in the transmission spectra. The electron transmission characteristics mainly depend on the interaction between the frontier molecular orbital of energy near Ef and the electronic state of the electrode surface,[63] so we pay attention to the transmission spectrum near Ef. Obviously, the peak near Ef is greatly suppressed as the molecular chain becomes longer. Especially for the (BN)4 molecular chain, the resonance peak near Ef is almost invisible, which proves that it is not conducive to electron transport. As a result, the equilibrium conductance of the BN molecular chain decreases as the chain length increases (as shown in Figure ).
Figure 3

Transport coefficient and density of state as a function of energy for (BN) (n = 1–4) linear chain at zero bias. The vertical lines stand for the molecular orbitals.

Transport coefficient and denclass="Chemical">sity of state as a function of energy for (class="Chemical">pan class="Chemical">BN) (n = 1–4) linear chain at zero bias. The vertical lines stand for the molecular orbitals. In fact, the peak vpan class="Chemical">alue of the transmisclass="Chemical">pan class="Chemical">sion spectrum is related to the molecular orbital of the BN linear chain. However, when the molecular chain is placed between the two electrodes to form a double-probe system, the molecular orbital energy level and spatial distribution of the linear chain will expand and move under the action of the Au electrodes,[64−66] and the transmission of electrons is carried out through these extended molecular orbitals. Therefore, it is necessary for us to consider the molecular orbital of the scattering region, that is, use the molecular projection self-consistent Hamiltonian (MPSH) method for orbital analysis.[64−66] It can be seen from the diagrams in Figure that when the molecular chain becomes longer, the coupling between the chain and the electrodes decreases and the overlap between the MPSH state and the electrode surface state reduces, resulting in a narrower resonance peak and an increase in the number of resonance peaks, which is caused by more molecular eigenstates.[67] Electron transfer occurs mainly between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) during transport. It can be seen from Figure that the HOMO level is closer to the Fermi level Ef than the LUMO level, so it plays a major role in electron transport. With an increase of BN molecular unit, the position of the HOMO-related resonance peak changes and the corresponding peak decreases, indicating that the MPSH eigenvalue, that is, the frontier molecular orbital energy level, is very sensitive to the length of the molecular chain. When n increased from 1 to 4, the HOMO–LUMO gaps become smaller, which are 1.461, 1.438, 1.315, and 1.248 eV, respectively; these gaps are smaller than the value of polyyne-based molecular wires calculated by Crljen[49] and larger than the gaps of the SiC chains calculated by Mu et al.[68] We also calculated the gaps when the (BN)1–4 linear chains are not connected to the electrodes; they are 9.000, 7.020, 5.882, and 4.973 eV, respectively. It can be seen that the connection of (BN)1–4 linear chains to the electrodes greatly reduces the energy gap.
Figure 5

Spatial distribution of MPSH orbitals near the Fermi level Ef of (BN) (n = 1–4) linear chains at zero bias. The isovalue is set to 0.04 for all plots.

To better understand the transport channel, we further anpan class="Chemical">alyze the denclass="Chemical">pan class="Chemical">sity of states (DOS) of the molecular chains, as shown in Figure . The vertical dashed lines represent the molecular orbitals. All molecular orbitals near the Ef can promote electron transport. If an orbital delocalizes on the entire molecule, the electrons that reach the molecule with the energy of the delocalized orbital have high mobility. In this case, it corresponds to a certain peak of the transmission spectrum. In general, the number of discrete peaks in the DOS diagram corresponds to the different molecular orbitals of the linear chain, and the molecular orbitals correspond to energy-independent transport coefficients; therefore, the peak value in the DOS diagram has a good corresponding relationship with the peak value in the transport coefficient. We can see from the figure that although new molecular orbitals are added, the characteristic spectra of the molecular chains do not move to the Ef and the transmission coefficients are suppressed with an increase of the chain length, so the conductance decreases. We also analyze the projected density of states (PDOS) of the molecular chains, as shown in Figure . The px and py orbitals of the B atom and N atom show a high density of states near Ef. Therefore, the px and py orbitals make major contributions to the transport channel, forming a π bond that is beneficial to electron transport, but the s and pz orbitals have a little contribution.
Figure 4

Projected density of states of the (BN) (n = 1–4) linear chains under zero external bias.

class="Chemical">Projected denclass="Chemical">pan class="Chemical">sity of states of the (BN) (n = 1–4) linear chains under zero external bias.

MPSH Eigenstates

The spatipan class="Chemical">al distribution of frontier molecular orbitclass="Chemical">pan class="Chemical">als can be used to qualitatively understand the contribution of molecular orbitals in the transport process and the coupling between the molecular chains and the electrodes at both ends.[69−71] Since the orbitals near Ef play a dominant role in transport, Figure lists the spatial distribution of MPSH orbits near Ef and the corresponding MPSH eigenvalues under zero bias. We found that although the lengths of the molecular chains are different, the spatial distribution of the HOMO and LUMO of the frontier orbitals are similar. Combining Figures and 5, it can be seen that LUMO and LUMO + 1 orbitals of (BN)1 play a decisive role in electron transport, the HOMO resonance states of the (BN) (n = 2–4) molecular chains correspond to the transmission spectrum peak, and their orbital spatial distributions are more delocalized than LUMO, LUMO + 1, and HOMO – 1, so the HOMO orbitals provide a good transmission channel for charge transport. At the corresponding energy of LUMO, the electron transmission probability is obviously lower. The spatial distribution domain of the orbital is on the Au atom on the electrode side, and as the chain length increase, the distribution on the intermediate molecular chains becomes less and less. Therefore, the LUMO orbitals contribute less to the conductances of the molecular junctions. As the length of the molecular chain increases, the degree of delocalization of the orbital decreases, and the HOMO resonance is severely deformed and strongly suppressed, which leads to a decrease of the conductance of BN linear chains. In addition, as the length of the molecular chains increases, HOMO changes from a nondegenerate state at n = 1 to a degenerate state at n = 2–4, which means that increasing the chain length can degenerate the system. Spaticlass="Chemical">al distribution of Mclass="Chemical">pan class="Chemical">PSH orbitals near the Fermi level Ef of (BN) (n = 1–4) linear chains at zero bias. The isovalue is set to 0.04 for all plots. By anpan class="Chemical">alyzing the sclass="Chemical">paticlass="Chemical">pan class="Chemical">al distribution of MPSH orbitals, information about the coupling of molecular chains and electrodes during the formation of molecular junctions can also be obtained. In the HOMO state, as n = 1 extends to n = 4, the coupling between the molecular chains and the left electrode is significantly weakened, and at the contact point between the molecular chains and the right electrode, the orbital always maintains a relatively delocalized spatial distribution, which means that the coupling between the molecular chains and the right electrode is stronger than the coupling with the left electrode, which has an important effect on electron tunneling between the chains and the electrodes, similar to the calculation results of Xu et al.[37] The overlap of Au–N electronic states is greater than Au–B electronic states; this conclusion can be verified by the fracture of the Au–B bond during the stretching process, as shown in Figure .

I–V Characteristic Curves and Rectification

The externclass="Chemical">al bias will cclass="Chemical">pan class="Chemical">ause the Hamiltonian of the electrodes to move, and the chemical potential of the electrodes changes to generate current. Figure shows the junction current under a region from −1.6 to 1.6 V.
Figure 6

Current as a function of the applied bias for the (BN) (n = 1–4) linear chain.

Current as a function of the applied bias for the (pan class="Chemical">BN) (n = 1–4) linear chain. We found that the chain length has a great influence on the characteristics of the I–V curves. The I–V curves of the (pan class="Chemical">BN)(n = 1–4) nanojunctions show nearly linear changes in the entire bias voltage range. For n = 1 molecular junction, the current increases raclass="Chemical">pidly with an increase of the bias voltage. This is due to the interaction between the chain and the class="Chemical">pan class="Chemical">metal electrodes, resulting in electrons of metal doped into the BN line chins. Under the positive bias, the currents increase slowly, particularly the currents of (BN)2-4 chains hardly change with the voltages. Under the negative bias, the current increases apparently as the chain grows. Also, as the lengths of the molecular chains increase, the currents decrease. Figure also shows that the magnitude of current flowing through the (BN)1 chain is much greater than that flowing through the (BN)2-4 chains under the positive voltage. In addition, it can be seen from Figure that the I–V curves of the BN linear chains exhibit asymmetric characteristics. On the one hand, this asymmetric characteristic is derived from the asymmetry of the molecular chains themselves; on the other hand, it stems from the asymmetry of the contact between the molecular chains and the electrodes.[66] The asymmetry of the current can be quantified by the reverse rectification ratio of the molecular junction changing with the bias voltage, which is defined as follows:[72]R(V) = |(I(−V)/I(V)|. Figure shows the change curves of the rectification ratios of the molecular chains with the bias voltages. It can be seen that for all of the (BN) (n = 1–4) linear chains, the reverse rectification ratios are greater than 1, which indicate that the currents under the negative bias are greater than those under the positive bias, and the rectification ratio is related to the length of the molecular chain. As the molecular chains become longer, the rectification effect is significantly enhanced. For n = 4, the rectification ratio reaches the largest 13.32 at 1.6 V for all of the four molecular junctions; the ratio is similar to that of (BN)5-8 studied by Xu et al.[37] and rather small compared to recent results of 6.3 × 105 of Fc–C≡C–Fc and above 1000 at low voltage[70,73] in oligo(bisthienylbenzene)-based layer systems.
Figure 7

Rectification ratios as a function of the applied bias for the (BN) (n = 1–4) linear chain.

Rectification ratios as a function of the applied bias for the (pan class="Chemical">BN) (n = 1–4) linear chain. It is worth noting that the characteristics of the volt–ampere curves of (pan class="Chemical">BN) (n = 1–4) molecular chains are quite different from those of class="Chemical">pan class="Chemical">Si single-atom chains[74] and C-atom chains with benzene rings,[75] and the negative differential resistance (NDR) effect, which exists in other BN molecular chain systems,[36,37] is not found in our (BN) (n = 1–4) linear-chain systems. We took (BN)2-3 junctions as an example to explain the transmission spectra under different bias voltages, as shown in Figure . From the Results and Discussion section, we know that at a certain voltage V, the current I through the junction is determined by the integral of the transmission coefficient T within the energy window [−eV/2, +eV/2], and the bias window is marked with the vertical dotted line. In the voltage range of −1.6 to 1.6 V, although the shape of the transmission spectrum does not change significantly, the HOMO peak gradually shifts to Ef and the bias window becomes broader with the increase of the bias; therefore, the current will increase with an increase of voltage under both positive and negative voltages, that is, in the range of −1.6 to 1.6 V, the nanojunctions of (BN)n (n = 1–4) molecular chains show no NDR behavior.
Figure 8

Transmission spectra of (BN)(2-3) molecular chains under bias voltage ±1.2, ±1.4, and ±1.6 V. The vertical dashed lines represent the bias window.

Transmisclass="Chemical">sion sclass="Chemical">pectra of (class="Chemical">pan class="Chemical">BN)(2-3) molecular chains under bias voltage ±1.2, ±1.4, and ±1.6 V. The vertical dashed lines represent the bias window.

Conclusions

By first-principles denpan class="Chemical">sity functionclass="Chemical">pan class="Chemical">al theory and nonequilibrium Green’s function method, we systematically study the electron transport properties of Au-(BN)-Au nanojunctions formed by coupling of (BN) (n = 1–4) linear chains with Au(100)-3 × 3 half-infinite electrodes. The influence of chain length on conductance, the asymmetry of the molecular chains and its coupling with the electrodes, and positive and negative biases on the electron transport characteristics is mainly discussed. When each junction is in an equilibrium structure, their equilibrium distances are d = 12.631, 15.134, 17.728, and 20.598 Å, respectively; the corresponding ΔE values are −8.311, −9.161, −9.035, and −8.948 eV. It is found that the BN junction has the lowest stability and the (BN)2 junction has the highest stability. For (BN)2-4 nanojunctions, as the molecular chain length increases, the stability of the system decreases. The average bond lengths of B–N are 1.267, 1.298, 1.302, and 1.303 Å, and their equilibrium conductance under zero-bias voltages are 0.228, 0.056, 0.027, and 0.011 G0, respectively. Under zero bias, the px and py orbitpan class="Chemical">als contribute the most during the transclass="Chemical">portation class="Chemical">process and class="Chemical">play a leading role in electron transclass="Chemical">port. As the chain length increases, the transmisclass="Chemical">pan class="Chemical">sion spectrum near Ef is suppressed, the tunneling current decreases, and the rectification ratio increases. The I–V curves of the (BN)(n = 1–4) nanojunctions show nearly linear changes over the entire bias voltage range. Under the same voltage, (BN)1 has the largest current, and its electronic transport is the best. The rectification effect reflects the asymmetry of the structure of BN linear chains themselves and the asymmetry of the coupling with the Au electrode surfaces at both ends. Among the four molecular junctions, (BN)4 has the largest rectification ratio, reaching 13.32 when the bias voltage is 1.6 V. The Au–N strong coupling is more conducive to the electron transport of the molecular chain than the Au–B weak coupling. Our calculations provide a systematic and comprehensive study on the electronic transport characteristics of BN linear chains and we hope to provide an important theoretical reference for the design and development of BN nanodevices.

Computational Details

To cpan class="Chemical">alculate the electron transclass="Chemical">port class="Chemical">proclass="Chemical">perties of the (class="Chemical">pan class="Chemical">BN) (n = 1–4) linear chain, the two-end device model of electron transport in a typical mesoscopic system is used to connect the molecular chain and the electrode to form a nanojunction.[7] A certain voltage is applied to the terminal to measure the current through the node. To ignore the influence of the interface on the electron transport properties of the molecular chain, the coupling morphology of the chain and the electrode is controlled, and a pyramid structure is added at the coupling point to connect the BN chain to the top position of the atom at the tip of the electrode. In Figure , we illustrate the model diagram of the (BN) (n = 1–4) linear chains sandwiched between two Au (100) electrodes. The model can be divided into three parts, the left electrode, the central scattering area, and the right electrode, and proved to be reliable.[68,76] The electrode can be treated with a semi-infinite ideal metal crystal structure. Because Ke et al.[77] found that under low voltages, the electron transport characteristics given by the finite interface Au electrode and the periodic three-dimensional body electrode, especially in the (100) direction, are almost identical. To avoid the interaction between mirror image molecules, a 3 × 3 supercell structure is used in the vertical direction, so in this paper, two half-infinite Au(100)-3 × 3 × 2 unit cells are selected as electrodes. To shield the interaction between the linear chain and the electrode, the BN linear chain and other Au tips with 7(6) Au layers on the left(right) constitute the central scattering zone.[78] The electron transport direction is from the left to right. Model diagram of the (pan class="Chemical">BN) (n = 1–4) linear chains sandwiched between two class="Chemical">pan class="Chemical">Au(100) electrodes. In theoreticpan class="Chemical">al class="Chemical">pan class="Chemical">simulation calculations, the nonlocal norm-conserving Troullier–Martins pseudopotential[79] is used to describe the core electrons, and the valence electrons of Au atoms use a single-ζ polarized (SZP) basis set, while double-ζ polarized (DZP) for B and N. The energy convergence standard for self-consistent calculation is 10–4, and the cutoff energy is 300 Ry. A 2 × 2 × 100 k-point grid is taken perpendicular to the electron transport direction. The exchange–correlation function selects the Perdew–Zunger form[80] of the local density approximation (LDA-PZ),[81] which has been proven reasonable and reliable.[36,80,82] The calculation of the electronic transport properties of the (BN) (n = 1–4) linear chain is done by the SIESTA program[83] based on DFT.[84] The SIESTA calculation software package has been successfully applied to various models, and the good results consistent with experiments and other ab initio calculations make us confident in the reliability of the calculations.[41,84−86] The calculation of electronic transport characteristics adopts the TRANSIESTA program, which is a module of SIESTA based on the NEGF technique.[83] In the transportation calculation, the charge density is integrated over 50 energy points along the semicircle on the complex plane, 20 energy integration points are selected on the imaginary axis, and 20 poles are used for the Fermi distribution function. When a certain externpan class="Chemical">al voltage is aclass="Chemical">pclass="Chemical">plied to both ends, the current through the node can be obtained by the following Landclass="Chemical">pan class="Chemical">auer–Büttiker formula[86]In the formula, f is the Fermi distribution function, μL/R is the chemical potential of the left and right electrodes, and T(E, V) is the transmission coefficient of electrons with energy E from the left electrode to the right electrode at voltage V. The integration interval is [μL, μR], which is [EF – eV/2, EF + eV/2]. When the external bias voltage V = 0 V, the equilibrium conductance of the system can be obtained by multiplying the quantum conductance (G0 = 2e2/h) with the transmission value T (EF, V = 0 V) at the Fermi level EF in the equilibrium state, that is
  37 in total

1.  Chain formation of metal atoms.

Authors:  S R Bahn; K W Jacobsen
Journal:  Phys Rev Lett       Date:  2001-12-04       Impact factor: 9.161

2.  Observation of a parity oscillation in the conductance of atomic wires.

Authors:  R H M Smit; C Untiedt; G Rubio-Bollinger; R C Segers; J M van Ruitenbeek
Journal:  Phys Rev Lett       Date:  2003-08-15       Impact factor: 9.161

3.  Electronic decay constant of carotenoid polyenes from single-molecule measurements.

Authors:  Jin He; Fan Chen; Jun Li; Otto F Sankey; Yuichi Terazono; Christian Herrero; Devens Gust; Thomas A Moore; Ana L Moore; Stuart M Lindsay
Journal:  J Am Chem Soc       Date:  2005-02-09       Impact factor: 15.419

4.  Electron transport through single conjugated organic molecules: basis set effects in ab initio calculations.

Authors:  San-Huang Ke; Harold U Baranger; Weitao Yang
Journal:  J Chem Phys       Date:  2007-10-14       Impact factor: 3.488

5.  Unusual conductance of polyyne-based molecular wires.

Authors:  Z Crljen; G Baranović
Journal:  Phys Rev Lett       Date:  2007-03-12       Impact factor: 9.161

6.  Negative differential resistance in carbon atomic wire-carbon nanotube junctions.

Authors:  Khoong Hong Khoo; J B Neaton; Young Woo Son; Marvin L Cohen; Steven G Louie
Journal:  Nano Lett       Date:  2008-08-19       Impact factor: 11.189

7.  Control of Rectification in Molecular Junctions: Contact Effects and Molecular Signature.

Authors:  Quyen van Nguyen; Pascal Martin; Denis Frath; Maria Luisa Della Rocca; Frederic Lafolet; Clément Barraud; Philippe Lafarge; Vineetha Mukundan; David James; Richard L McCreery; Jean-Christophe Lacroix
Journal:  J Am Chem Soc       Date:  2017-08-22       Impact factor: 15.419

8.  First-principles study of rectification in bis-2-(5-ethynylthienyl)ethyne molecular junctions.

Authors:  Shundong Yuan; Shiyan Wang; Qunbo Mei; Qidan Ling; Lianhui Wang; Wei Huang
Journal:  J Phys Chem A       Date:  2011-07-27       Impact factor: 2.781

9.  Rectification of STM Current to Graphite Covered with Phthalocyanine Molecules.

Authors:  M Pomerantz; A Aviram; R A McCorkle; L Li; A G Schrott
Journal:  Science       Date:  1992-02-28       Impact factor: 47.728

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