Skip to main content
Log in

Heat jet approach for finite temperature atomic simulations of triangular lattice

  • Original Paper
  • Published:
Computational Mechanics Aims and scope Submit manuscript

Abstract

In this paper, we propose a heat jet approach for atomic simulations at finite temperature of a triangular lattice. First we design a matching boundary condition by carefully examining a residual function based on the lattice dispersion relation. It leads to a two-way boundary condition, where prescribed incoming waves are included with a source term. Meanwhile, we adopt a phonon representation to determine Fourier mode amplitudes. The heat jet approach is then formulated by combining the two-way boundary condition and the phonon representation of heat source. Numerical tests of a tube-shaped computational domain illustrate the accuracy and effectiveness in simultaneously resolving thermal fluctuations and non-thermal motion at a given temperature.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

References

  1. Zwanzig R (2001) Nonequilibrium Statistical Mechanics. Oxford University Press, Oxford

  2. Anderson HC (1980) Molecular dynamics simulation at constant pressure and/or temperature. J Chem Phys 72:2384–2393

    Article  Google Scholar 

  3. Berendsen HJC, Postma JPM, van Gunsteren WF, DiHola A, Haak JR (1984) Molecular dynamics with coupling to an external bath. J Chem Phys 81:3684–3690

    Article  Google Scholar 

  4. Bussi G, Parrinello M (2007) Accurate sampling using Langevin dynamics. Phys Rev E 75:056707

    Article  Google Scholar 

  5. Nosé S (1984) A unified formulation of the constant temperature molecular dynamics methods. J Chem Phys 81:511–519

    Article  Google Scholar 

  6. Hoover WG (1985) Canonical dynamics: equilibrium phase-space distributions. Phys Rev A 31:1695–1697

    Article  Google Scholar 

  7. Lepri S, Livi R, Politi A (2003) Thermal conduction in classical low-dimensional lattices. Phys Rep 377:1–80

    Article  MathSciNet  Google Scholar 

  8. Xiong D, Zhang Y, Zhao H (2014) Temperature dependence of heat conduction in the Fermi–Pasta–Ulam–beta lattice with next-nearest-neighbor coupling. Phys Rev E 90:022117

    Article  Google Scholar 

  9. Sun T, Wang J, Kang W (2014) Heat transfer in heterogeneous nanostructures can be described by a simple chain model. Phys Chem Chem Phys 16:16914–16918

    Article  Google Scholar 

  10. Zhang C, Kang W, Wang J (2016) Thermal conductance of one-dimensional materials calculated with typical lattice models. Phys Rev E 94:052131

    Article  Google Scholar 

  11. Ai B, Hu B (2011) Heat conduction in deformable Frenkel-Kontorova lattices: thermal conductivity and negative differential thermal resistance. Phys Rev E 83:011131

    Article  Google Scholar 

  12. Sun T, Wang J, Kang W (2013) Van der Waals interaction-tuned heat transfer in nanostructures. Nanoscale 5:128–133

    Article  Google Scholar 

  13. Giardiná C, Livi R, Politi A, Vassalli M (2000) Finite thermal conductivity in 1D lattices. Phys Rev Lett 84:2144–2147

    Article  Google Scholar 

  14. Fu W, Jin T, He D, Qu S (2015) Effect of dynamical localization on negative differential thermal resistance. Phys A 433:211–217

    Article  Google Scholar 

  15. Zhong Y, Zhang Y, Wang J, Zhao H (2012) Normal heat conduction in one-dimensional momentum conserving lattices with asymmetric interactions. Phys Rev E 85:060102

    Article  Google Scholar 

  16. Savin AV, Kosevich YA (2014) Thermal conductivity of molecular chains with asymmetric potentials of pair interactions. Phys Rev E 89:032102

    Article  Google Scholar 

  17. Yang L, Grassberger P, Hu B (2006) Dimensional crossover of heat conduction in low dimensions. Phys Rev E 74:062101

    Article  Google Scholar 

  18. Wang L, Hu B, Li B (2012) Logarithmic divergent thermal conductivity in two-dimensional nonlinear lattices. Phys Rev E 86:040101

    Article  Google Scholar 

  19. Lippi A, Livi R (2000) Heat conduction in two-dimensional nonlinear lattices. J Stat Phys 100:1147–1172

    Article  MATH  Google Scholar 

  20. Barik D (2006) Heat conduction in 2D harmonic lattices with on-site potential. Europhys Lett 75:42–48

    Article  Google Scholar 

  21. Xiong D, Wang J, Zhang Y, Zhao H (2010) Heat conduction in two-dimensional disk models. Phys Rev E 82:030101

    Article  Google Scholar 

  22. Karpov EG, Park HS, Liu WK (2007) A phonon heat bath approach for the atomistic and multiscale simulation of solids. Int J Numer Methods Eng 70:351–378

    Article  MathSciNet  MATH  Google Scholar 

  23. Tang S, Liu B (2015) Heat jet approach for atomic simulations at finite temperature. Commun Comput Phys 18:1445–1460

    Article  Google Scholar 

  24. Tang S, Liu B (2016) Heat jet approach for finite temperature atomic simulation of two-dimensinal square lattice. Multisc Multiphys Mech 1:201–224

    Article  Google Scholar 

  25. Wang X, Tang S (2013) Matching boundary conditions for lattice dynamics. Int J Numer Methods Eng 93:1255–1285

    Article  MathSciNet  MATH  Google Scholar 

  26. Tang S, Fang M (2010) Unstable surface modes in finite chain computations: deficiency of reflection coefficient approach. Commun Comput Phys 8:143–158

    Google Scholar 

  27. Tang S (2010) A two-way interfacial condition for lattice simulations. Adv Appl Math Mech 2:45–55

    MathSciNet  Google Scholar 

  28. Born M, Huang K (1954) Dynamical Theory of Crystal Lattices. Oxford University Press, Oxford

    MATH  Google Scholar 

  29. Wang X (2010) Matching boundary conditions for atomic simulations of crystalline solids. PhD thesis, Tsinghua University, Beijing

  30. Li S, Sheng N, Liu X (2008) A non-equilibrium multiscale simulation paradigm. Chem Phys Lett 451:293C300

  31. Liu WK, Qian D, Gonella S, Li S, Chen W, Chirputkar S (2010) Multiscale methods for mechanical science of complex materials: Bridging from quantum to stochastic multiresolution continuum. Int J Numer Methods Eng 83:1039–1080

    Article  MATH  Google Scholar 

Download references

Acknowledgements

This research is partially supported by NSFC under grant No.s 11521202 and 11272009, and the key subject Computational Solid Mechanics of CAEP. We would like to thank Prof. Hong Zhao, Prof. Dong Qian, Prof. Shaofan Li and the anonymous referees for stimulating discussions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shaoqiang Tang.

Appendices

Appendix 1

In designing matching boundary conditions, the selection of involved atoms is crucial. The choice in this study is made after many tries, in addition to the experiences we gained through the study of other lattices. In the following, we choose two different ways with the same number of atoms as in (8).

First, we choose more atoms in the horizontal direction as shown in Fig. 18. The boundary condition reads

$$\begin{aligned} {\dot{u}}_{m,1}= & {} -a_2\left( {\dot{u}}_{m-1,2}+{\dot{u}}_{m+1,2}\right) -a_3\left( {\dot{u}}_{m-3,2}+{\dot{u}}_{m+3,2}\right) \nonumber \\&-\,a_4{\dot{u}}_{m,3}-a_5\left( {\dot{u}}_{m-2,3}+{\dot{u}}_{m+2,3}\right) \nonumber \\&-\,a_6\left( {\dot{u}}_{m-4,3}+{\dot{u}}_{m+4,3}\right) \nonumber \\&+\,b_1u_{m,1}+b_2\left( u_{m-1,2}+u_{m+1,2}\right) \nonumber \\&+\,b_3\left( u_{m-3,2}+u_{m+3,2}\right) \nonumber \\&+\,b_4u_{m,3}+b_5\left( u_{m-2,3}+u_{m+2,3}\right) \nonumber \\&+\,b_6\left( u_{m-4,3}+u_{m+4,3}\right) , \end{aligned}$$
(33)

with

$$\begin{aligned} a_2= & {} -0.042277, a_3=-0.414167, \nonumber \\ a_4= & {} -1.481894, a_5=-0.122950, a_6=0.252025, \nonumber \\ b_1= & {} -2.341130, b_2=4.560714, \nonumber \\ b_3= & {} -1.415865, b_4=-3.758910,\nonumber \\ b_5= & {} -0.186008, b_6=0.091179. \end{aligned}$$
(34)

In Fig. 19, we observe a reflection coefficient much larger than that for (8). This boundary condition performs reasonably well for oblique waves (e.g. in the direction \(\pm \pi /6\)), however, it can not suppress reflection as well for waves with large wave numbers, even at normal incidence.

Fig. 20
figure 20

Schematic plot for the lattice around the bottom boundary, with more atoms in the vertical direction

Fig. 21
figure 21

Reflection coefficient modulus for the bottom boundary condition, with more atoms in the vertical direction

If instead we choose more atoms in the vertical direction as shown in Fig. 20. The boundary condition reads

$$\begin{aligned} {\dot{u}}_{m,1}= & {} -a_2\left( {\dot{u}}_{m-1,2}+{\dot{u}}_{m+1,2}\right) -a_3{\dot{u}}_{m,3}\nonumber \\&-\,a_4\left( {\dot{u}}_{m-1,4}+{\dot{u}}_{m+1,4}\right) -a_5{\dot{u}}_{m,5}\nonumber \\&-\,a_6\left( {\dot{u}}_{m-1,6}+{\dot{u}}_{m+1,6}\right) +b_1u_{m,1}\nonumber \\&+\,b_2\left( u_{m-1,2}+u_{m+1,2}\right) +b_3u_{m,3} \nonumber \\&+\,b_4\left( u_{m-1,4}+u_{m+1,4}\right) \nonumber \\&+\,b_5u_{m,5}+b_6\left( u_{m-1,6}+u_{m+1,6}\right) . \end{aligned}$$
(35)

with

$$\begin{aligned} a_2= & {} -2.019414, a_3=4.543445, \nonumber \\ a_4= & {} -4.622717, a_5=5.040833, a_6=1.429083,\nonumber \\ b_1= & {} -1.691923, b_2=4.864710, \nonumber \\ b_3= & {} -15.841764,\nonumber \\ b_4= & {} 10.850438, b_5=-26.558221, b_6=6.330807. \end{aligned}$$
(36)

The reflection coefficient is displayed in Fig. 21. For an oblique incident wave with large angle, it appears to be unstable with the reflection coefficient modulus bigger than 1.

We remark that in case of inputs from all boundaries, both choices require special treatment for more corner atoms, whose involved atoms go out of the lattice under simulation.

From these comparisons, it is clear that the choice of boundary atoms in Fig. 3 is appropriate, with which the boundary condition (8) well treats both normal incidence with large wave numbers, and large angle incidence.

Fig. 22
figure 22

Dislocation propagation under an external force \(f=0.03\) with heat jet approcah

Fig. 23
figure 23

Dislocation propagation under an external force \(f=0.03\): a displacement u(0); b displacement u(550); c instantaneous temperature T(0); d instantaneous temperature T(550)

Appendix 2

The heat jet approach applies to weakly nonlinear lattices. This has been demonstrated in [23] for a one-dimensional chain with Morse potential. Here we present one more example, which models dislocation motion at finite temperature.

Similar to [30, 31], we use the Frenkel-Kontorova potential

$$\begin{aligned} U(x)=\displaystyle \sum _i \left[ \frac{k_1}{2}(x_i-x_{i-1}-a)^2 + \frac{k_2}{2}\cos (x_i-a i) \right] . \end{aligned}$$
(37)

Here, \(x_i=u_i+a i\) is the position of i-th atom, and \(u_i\) is its displacement away from equilibrium.

The dimensionless governing equation is

$$\begin{aligned} {\ddot{u}}_i=k_1 \left( u_{i-1}-2u_i+u_{i+1} \right) - k_2 \sin u_i + f \end{aligned}$$
(38)

Following [30], the characteristic mass, length and time are chosen as \(m_c=26.98amu\), \(L_c=3.253A\) and \(t_c=2 \times 10^{-13}s\), respectively. The elastic constants are \(k_1=1\) and \(k_2=0.7\). We rescale temperature by \(k_B t_c^2/m_c L_c^2\). The phonon heat source temperature 200K hence gives \(T_L=T_R=0.0232\). A constant force \(f=0.03\) is applied to each atom. See Fig. 22 and Fig. 23, the dislocation moves from right to left. The amplitudes near the dislocation becomes larger due to the reflection of incident wave reaching at the dislocation. The instantaneous temperature forms a gradient near dislocation. The results are comparable to those by MS-NEMD simulation (Fig. 3 and Fig. 4 in [30]). We remark that we do not perform multiscale decomposition for the motion.

This example shows that the heat jet approach can be applied to non-equilibrium MD to simulate a dislocation in a nonlinear chain.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, B., Tang, S. & Chen, J. Heat jet approach for finite temperature atomic simulations of triangular lattice. Comput Mech 59, 843–859 (2017). https://doi.org/10.1007/s00466-017-1376-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00466-017-1376-5

Keywords

Navigation