The melting temperature of bulk silicon from ab initio molecular dynamics simulations

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Abstract

We estimated a melting temperature of Tm  1540 ± 50 K at zero pressure for silicon from constant enthalpy and constant pressure (NPH) Born–Oppenheimer Molecular Dynamics (BOMD) simulations of a coexisting crystalline–liquid phase. The computed Tm is below the experimental melting point of 1685 K, but it is consistent with a previously predicted first-order liquid–liquid phase transition (LLPT) at a critical point Tc  1232 K and Pc  −12 kB [P. Ganesh, M. Widom, Phys. Rev. Lett. 102 (2009) 075701], which is in a highly supercooled state.

Graphical abstract

The melting temperature of crystalline silicon calculated from ab initio molecular dynamics simulations at the constant enthalpy.

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Introduction

Bulk silicon and water both belong to the so-called tetrahedral liquid family [1], and thus both share certain structural similarities. For example, both liquid silicon and water expand upon freezing, and both assume diamond cubic structures in the solid state. Moreover, when deeply supercooled, both liquid silicon and water may undergo a first-order high-density liquid (HDL) to low-density liquid (LDL) phase transition [2], [3], [4], [5], [6], [7], [8]. The HDL and LDL phases are metastable compared to the bulk crystalline phase since the temperature of either HDL or LDL is below the melting point. Indeed, the liquid–liquid phase transition (LLPT) of silicon at the supercooled state has been previously studied by both classical molecular dynamics (MD) [4], [5] and ab initio MD simulations [6], [7], [8]. These computational studies of supercooled silicon may also shed light on the physical behavior of possible LLPTs in other tetrahedral liquids. The melting temperature Tm is an important thermodynamic property that is needed to obtain information about the metastable supercooled (T < Tm) and the stable liquid (T > Tm) regions of the phase diagram. The melting temperature of bulk silicon at ambient conditions has been previously computed from classical MD simulations [9], [10], [11] and from an ab initio MD simulation [12]. In the latter study, a thermodynamic integration of the free energy method was used to compute the melting temperature of silicon [12]. It will be of interest to compare the ab initio MD simulation of the coexisting system with the thermodynamic integration method for computing the melting temperature of silicon. Here, we present the results of calculating Tm from a constant enthalpy and constant pressure (NPH) Born–Oppenheimer molecular dynamics (BOMD) simulation. In our approach the energies and forces are obtained from electronic structure calculations with the Perdew–Burke–Ernzerhof (PBE) exchange-correlation density functional [13].

Section snippets

Computational method

Two commonly used computational approaches have been previously introduced to obtain Tm: (1) the direct simulation of the solid–liquid coexistence [10], [11], [14], [15], [16], [17], [18], [19], [20] system and (2) the thermodynamic integration (TI) of the free energy of the solid and liquid phases [12], [21], [22]. In the second method, Tm is determined by the condition of equality of the Gibbs free energies of the liquid and solid [12], [21], [22], viz. Gliq(P,T)T=Tm=Gsolid(P,T)T=Tm. Using

Results and discussion

The lower and upper limits of the initial temperature in the simulations were chosen with the following criteria: (i) the lower limit of the initial temperature of T = 1500 K was chosen below the melting temperature of bulk silicon (measured value Tm  1685 K) and (ii) the upper limit of the initial temperature of T = 1800 K is chosen higher than Tm  1691 K of silicon with the SW potential [9], [10], [11]. As mentioned above, the melting temperature of DFT-GGA-based Si was predicted to be Tm = 1492 ± 50 K

Acknowledgements

We acknowledge support from the Chemical Sciences, Geosciences and Biosciences Division, and the Materials Science and Engineering Division (DE-FG02-04ER46164), Office of Basic Energy Sciences, U.S. Department of Energy, and from the Nebraska Research Initiative. Battelle operates the Pacific Northwest National Laboratory for the U.S. Department of Energy. This research was performed in part using the Molecular Science Computing Facility (MSCF) in the Environmental Molecular Sciences

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