Chemistry:Lennard-Jones potential

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A graph of strength versus distance for the 12-6 Lennard-Jones potential

The Lennard-Jones potential (also termed the L-J potential, 6-12 potential, or 12-6 potential) is a mathematically simple model that approximates the intermolecular potential energy between a pair of neutral atoms or molecules as metals or cyclic alkanes.[1][2] This interatomic potential emerged from Max Born's treatise on lattice enthalpies[3] and was elaborated in 1924 by John Lennard-Jones.[4] A common expression of the L-J potential is

[math]\displaystyle{ V_\text{LJ} = 4\varepsilon \left[ \left(\frac{\sigma}{r}\right)^{12} - \left(\frac{\sigma}{r}\right)^6 \right] = \varepsilon \left[ \left(\frac{r_\text{m}}{r}\right)^{12} - 2\left(\frac{r_\text{m}}{r}\right)^6 \right], }[/math]

where ε is the depth of the potential well, σ is the finite distance at which the inter-particle potential is zero, r is the distance between the particles, and rm is the distance at which the potential reaches its minimum. At rm, the potential function has the value −ε. The distances are related as rm = 21/6σ ≈ 1.122σ. These parameters can be fitted to reproduce experimental data on lattice parameters (rm), surface energies (ε), or accurate quantum chemistry calculations.[2] Due to its computational simplicity and interpretability, the Lennard-Jones potential is used extensively in computer simulations. It is also part of more detailed interatomic potentials such as CHARMM,[5] AMBER,[6] OPLS-AA,[7] CVFF,[8] DREIDING,[9] and IFF.[10]

The Lennard-Jones potential is also used with different exponents, for example, in 9-6 form:

[math]\displaystyle{ V_\text{LJ} = \varepsilon \left[ 2\left(\frac{r_\text{m}}{r}\right)^{9} - 3\left(\frac{r_\text{m}}{r}\right)^6 \right] }[/math],

in force fields such as CFF,[11] PCFF,[12] and IFF.[10] The interpretation of rm as atomic diameter and ε as polarizability and a measure for internal cohesion is the same as for the 12-6 Lennard-Jones potential.[2]


The r12 term, which is the repulsive term, describes Pauli repulsion at short ranges due to overlapping electron orbitals, and the r6 term, which is the attractive long-range term, describes attraction at long ranges (van der Waals force, or dispersion force).

Differentiating the L-J potential with respect to r gives an expression for the net inter-molecular force between 2 molecules. This inter-molecular force may be attractive or repulsive, depending on the value of r. When r is very small, the molecules repel each other.

Whereas the functional form of the attractive term has a clear physical justification, the repulsive term has no theoretical justification. It is used because it approximates the Pauli repulsion well and is more convenient due to the relative computing efficiency of calculating r12 as the square of r6.

The L-J potential is a relatively good approximation. Due to its simplicity, it is often used to describe the properties of gases and to model dispersion and overlap interactions in molecular models. It is especially accurate for noble gas atoms and is a good approximation at long and short distances for neutral atoms and molecules.

The lowest-energy arrangement of an infinite number of atoms described by a Lennard-Jones potential is a hexagonal close-packing. On raising temperature, the lowest-free-energy arrangement becomes cubic close packing, and then liquid. Under pressure, the lowest-energy structure switches between cubic and hexagonal close packing.[13] Real materials include body-centered cubic structures also.[14]

The Lennard-Jones (12,6) potential was improved by the Buckingham potential (exp-6) later proposed by Richard Buckingham, incorporating an extra parameter and the repulsive part is replaced by an exponential function:[15]

[math]\displaystyle{ V_\text{B} = \gamma \left[ e^{-r/r_1} - \left( \frac{r_0}{r} \right)^6 \right]. }[/math]

Other more recent methods, such as the Stockmayer potential, describe the interaction of molecules more accurately. Quantum chemistry methods, Møller–Plesset perturbation theory, coupled cluster method, or full configuration interaction can give extremely accurate results, but require large computing cost.

Alternative expressions

There are many different ways to formulate the Lennard-Jones potential. Some common forms follow.

AB form

This form is a simplified formulation that is used by some simulation software:

[math]\displaystyle{ V_\text{LJ}(r) = \frac{A}{r^{12}} - \frac{B}{r^6}, }[/math]

where, [math]\displaystyle{ A = 4\varepsilon \sigma^{12} }[/math] and [math]\displaystyle{ B = 4\varepsilon \sigma^6 }[/math]. Conversely, [math]\displaystyle{ \sigma = \sqrt[6]{\frac{A}{B}} }[/math] and [math]\displaystyle{ \varepsilon = \frac{B^2}{4A} }[/math]. This is the form in which Lennard-Jones wrote the 12-6 potential.[16]

A more mathematically general form, which contains an extra variable n is

[math]\displaystyle{ V_\text{LJ}(r) = \varepsilon \left(\left(\frac{r_0}{r}\right)^{2n} - 2\left(\frac{r_0}{r}\right)^n\right), }[/math]

where [math]\displaystyle{ \varepsilon }[/math] is the bonding energy of the molecule (the energy required to separate the atoms). The exponent n could be related to the spring constant k (at [math]\displaystyle{ r_0 }[/math], where [math]\displaystyle{ V = -\varepsilon }[/math]) as

[math]\displaystyle{ k = 2 \varepsilon \left(\frac{n}{r_0}\right)^2, }[/math]

from where n can be calculated if k is known. Normally the harmonic states are known, [math]\displaystyle{ \Delta E = \hbar\omega }[/math], where [math]\displaystyle{ \omega = \sqrt{k/m} }[/math]. n can also be related to the group velocity in a crystal, [math]\displaystyle{ v_\text{g} }[/math]

[math]\displaystyle{ v_\text{g} = \frac{a \cdot n}{r_0} \sqrt{\frac{\varepsilon}{m}}, }[/math]

where a is the lattice distance, and m is the mass of an atom.

Truncated and shifted form

To save computing time and satisfy the minimum image convention when using periodic boundary conditions, the Lennard-Jones potential is often truncated at a cut-off distance of rc = 2.5σ, where

[math]\displaystyle{ \displaystyle V_\text{LJ} ( r_\text{c} ) = V_\text{LJ} ( 2.5 \sigma ) = 4 \varepsilon \left[ \left( \frac {\sigma} {2.5 \sigma} \right)^{12} - \left( \frac {\sigma} {2.5 \sigma} \right)^6 \right] \approx -0.0163 \varepsilon, }[/math]


i.e., at rc = 2.5σ, the Lennard-Jones potential VLJ is about 1/60 of its minimum value, ε (the depth of the potential well). Beyond [math]\displaystyle{ r_\text{c} }[/math], the truncated potential is set to zero.

To avoid a jump discontinuity at [math]\displaystyle{ r_\text{c} }[/math], the LJ potential must be shifted upward a little, so that the truncated potential would be zero exactly at the cut-off distance, [math]\displaystyle{ r_\text{c} }[/math].

For clarity, let [math]\displaystyle{ V_\text{LJ} }[/math] denote the LJ potential as defined above, i.e.,

[math]\displaystyle{ \displaystyle V_\text{LJ} (r) = 4 \varepsilon \left[ \left( \frac {\sigma} {r} \right)^{12} - \left( \frac {\sigma} {r} \right)^6 \right]. }[/math]


Then the truncated Lennard-Jones potential [math]\displaystyle{ V_{\text{LJ}_\text{trunc}} }[/math] is defined as follows[17]

[math]\displaystyle{ \displaystyle V_{\text{LJ}_\text{trunc}} (r) := \begin{cases} V_\text{LJ} (r) - V_\text{LJ} (r_\text{c}) & \text{for } r \le r_\text{c} \\ 0 & \text{for } r \gt r_\text{c}. \end{cases} }[/math]


It can be easily verified that VLJtrunc(rc) = 0, thus eliminating the jump discontinuity at r = rc. Although the value of the (unshifted) Lennard Jones potential at r = rc = 2.5σ is rather small, the effect of the truncation can be significant; for instance, on the gas–liquid critical point.[18][19] The potential energy can often be corrected for this effect in a mean-field manner by adding so-called tail corrections.[20] The stability of crystal structure is extremely sensitive to the truncation: a wide variety of close packed stackings may have the lowest energy.[21]

Extensions for polarizability

Lennard-Jones potentials have been combined with bonded potentials to describe virtual electrons and image charges in metals.[22] The combined potential reproduces lattice parameters, surface energies, the complete image potentials, hydration energies, and mechanical properties without additional fit parameters in higher accuracy than density functional theory calculations.

Dimensionless (reduced) units

LJ dimensionless (reduced) units
Property Symbol Reduced form
Length [math]\displaystyle{ r^{*} }[/math] [math]\displaystyle{ \frac{r}{\sigma} }[/math]
Time [math]\displaystyle{ t^{*} }[/math] [math]\displaystyle{ \frac{t}{\tau} = t\sqrt{\frac{\epsilon}{m\sigma^2}} }[/math]
Temperature [math]\displaystyle{ T^{*} }[/math] [math]\displaystyle{ \frac{k_B T}{\epsilon} }[/math]
Force [math]\displaystyle{ f^{*} }[/math] [math]\displaystyle{ \frac{f\sigma}{\epsilon} }[/math]
Energy [math]\displaystyle{ \phi^{*} }[/math] [math]\displaystyle{ \frac{\phi}{\epsilon} }[/math]
Pressure [math]\displaystyle{ P^{*} }[/math] [math]\displaystyle{ \frac{P\sigma^3}{\epsilon} }[/math]
Number density [math]\displaystyle{ N^{*} }[/math] [math]\displaystyle{ N\sigma^3 }[/math]
Density [math]\displaystyle{ \rho^{*} }[/math] [math]\displaystyle{ \rho\sigma^3 }[/math]
Surface tension [math]\displaystyle{ \gamma^{*} }[/math] [math]\displaystyle{ \frac{\gamma\sigma^2}{\epsilon} }[/math]

Dimensionless units can be defined based on the Lennard-Jones potential, which are convenient for molecular dynamics simulations. From a numerical point, the advantages of dimensionless units include computing values which are closer to unity, using simplified equations and being able to easily scale the results.[23]

When the Lennard-Jones potential is used for molecular dynamics simulations, the most convenient dimensionless units are obtained by choosing length σ, mass m and energy ε as the scaling factors for the various physical properties.[23]


  • The L-J potential has only two parameters (A and B), which determine the length and energy scales. The potential is therefore limited in how accurately it can be fitted to the properties of any real material.
  • With the L-J potential, the number of atoms bonded to an atom does not affect bond strength. The bond energy per atom thus rises linearly with the number of bonds per atom. But experiments show that in real materials, bond energy per atom rises quadratically with the number of bonds.[24]
  • The bonding of the L-J potential has no directionality: the potential is spherically symmetric.
  • The sixth-power term models effectively the dipole–dipole interactions due to electron dispersion in noble gases (London dispersion forces), but it does not represent other kinds of bonding well. The twelfth-power term appearing in the potential is chosen for its ease of calculation for simulations (by squaring the sixth-power term) and is not theoretically or physically based.
  • The potential diverges when two atoms approach one another. This may create instabilities that require special treatment in molecular dynamics simulations.

12-6-4 Lennard-Jones potential for charged particles

For simulations of charged particles, e.g. ions, an additional [math]\displaystyle{ r^4 }[/math] term has been proposed to account for dipole interaction,[25][26] giving rise to a so-called 12-6-4 potential.

[math]\displaystyle{ V_\text{12-6-4-LJ} = \varepsilon \left[ \left(\frac{r_\text{m}}{r}\right)^{12} - 2\left(\frac{r_\text{m}}{r}\right)^6 \right] - \frac{C}{r^4}, }[/math]

where C is a system-dependent constant.

See also


  1. Muñoz-Muñoz, Y. Mauricio; Guevara-Carrion, Gabriela; Llano-Restrepo, Mario; Vrabec, Jadran (2015), "Lennard-Jones force field parameters for cyclic alkanes from cyclopropane to cyclohexane", Fluid Phase Equilibria 404: 150–160, doi:10.1016/j.fluid.2015.06.033 
  2. 2.0 2.1 2.2 Heinz, Hendrik; Vaia, R. A.; Farmer, B. L.; Naik, R. R. (2008-11-06). "Accurate Simulation of Surfaces and Interfaces of Face-Centered Cubic Metals Using 12−6 and 9−6 Lennard-Jones Potentials" (in en). The Journal of Physical Chemistry C 112 (44): 17281–17290. doi:10.1021/jp801931d. ISSN 1932-7447. 
  3. Born, Max (1919). "Eine Thermochemische Anwendung der Gittertheorie". Verhandlungen der Deutschen Physikalischen Gesellschaft 21: 13–24. 
  4. Lennard-Jones, J. E. (1924), "On the Determination of Molecular Fields", Proc. R. Soc. Lond. A 106 (738): 463–477, doi:10.1098/rspa.1924.0082, Bibcode1924RSPSA.106..463J 
  5. Huang, Jing; MacKerell, Alexander D. (2013-09-30). "CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data" (in en). Journal of Computational Chemistry 34 (25): 2135–2145. doi:10.1002/jcc.23354. PMID 23832629. PMC 3800559. 
  6. Wang, Junmei; Wolf, Romain M.; Caldwell, James W.; Kollman, Peter A.; Case, David A. (2004-07-15). "Development and testing of a general amber force field" (in en). Journal of Computational Chemistry 25 (9): 1157–1174. doi:10.1002/jcc.20035. ISSN 0192-8651. 
  7. Jorgensen, William L.; Maxwell, David S.; Tirado-Rives, Julian (January 1996). "Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids" (in en). Journal of the American Chemical Society 118 (45): 11225–11236. doi:10.1021/ja9621760. ISSN 0002-7863. 
  8. Dauber-Osguthorpe, Pnina; Roberts, Victoria A.; Osguthorpe, David J.; Wolff, Jon; Genest, Moniqe; Hagler, Arnold T. (1988). "Structure and energetics of ligand binding to proteins:Escherichia coli dihydrofolate reductase-trimethoprim, a drug-receptor system". Proteins: Structure, Function, and Genetics 4 (1): 31–47. doi:10.1002/prot.340040106. ISSN 0887-3585. 
  9. Mayo, Stephen L.; Olafson, Barry D.; Goddard, William A. (December 1990). "DREIDING: a generic force field for molecular simulations". The Journal of Physical Chemistry 94 (26): 8897–8909. doi:10.1021/j100389a010. ISSN 0022-3654. 
  10. 10.0 10.1 Heinz, Hendrik; Lin, Tzu-Jen; Kishore Mishra, Ratan; Emami, Fateme S. (2013-02-12). "Thermodynamically Consistent Force Fields for the Assembly of Inorganic, Organic, and Biological Nanostructures: The INTERFACE Force Field" (in en). Langmuir 29 (6): 1754–1765. doi:10.1021/la3038846. ISSN 0743-7463. 
  11. Sun, Huai; Mumby, Stephen J.; Maple, Jon R.; Hagler, Arnold T. (April 1994). "An ab Initio CFF93 All-Atom Force Field for Polycarbonates" (in en). Journal of the American Chemical Society 116 (7): 2978–2987. doi:10.1021/ja00086a030. ISSN 0002-7863. 
  12. Sun, H. (May 1995). "Ab initio calculations and force field development for computer simulation of polysilanes". Macromolecules 28 (3): 701–712. doi:10.1021/ma00107a006. ISSN 0024-9297. 
  13. Barron, T. H. K.; Domb, C. (1955), "On the Cubic and Hexagonal Close-Packed Lattices", Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences 227 (1171): 447–465, doi:10.1098/rspa.1955.0023, Bibcode1955RSPSA.227..447B 
  14. Zhen, Shu; Davies, G. J. (16 August 1983). "Calculation of the Lennard-Jones nm potential energy parameters for metals". Physica Status Solidi A 78 (2): 595–605. doi:10.1002/pssa.2210780226. Bibcode1983PSSAR..78..595Z. 
  15. Peter Atkins and Julio de Paula, "Atkins' Physical Chemistry" (8th edn, W. H. Freeman), p. 637.
  16. Lennard-Jones, J. E. (1931). "Cohesion". Proceedings of the Physical Society 43 (5): 461–482. doi:10.1088/0959-5309/43/5/301. Bibcode1931PPS....43..461L. 
  17. softmatter:Lennard-Jones Potential , Soft matter , Materials Digital Library Pathway , NIST-Lennard-Jones-fluid-properties.
  18. Smit, B. (1992), "Phase diagrams of Lennard-Jones fluids", Journal of Chemical Physics 96 (11): 8639–8640, doi:10.1063/1.462271, Bibcode1992JChPh..96.8639S, 
  19. Di Pierro, M.; Elber, R.; Leimkuhler, B. (2015), "A Stochastic Algorithm for the Isobaric-Isothermal Ensemble with Ewald Summations for all Long Range Forces", Journal of Chemical Theory and Computation 11 (12): 5624–5637, doi:10.1021/acs.jctc.5b00648, PMID 26616351 
  20. Frenkel, D. & Smit, B. (2002), Understanding Molecular Simulation (Second ed.), San Diego: Academic Press, ISBN 0-12-267351-4 
  21. Pártay, Lívia B.; Ortner, Christoph; Bartók, Albert P.; Pickard, Chris J.; Csányi, Gábor (2017). "Polytypism in the ground state structure of the Lennard-Jonesium". Physical Chemistry Chemical Physics 19 (29): 19369–19376. doi:10.1039/C7CP02923C. PMID 28707687. Bibcode2017PCCP...1919369P. 
  22. Geada, Isidro Lorenzo; Ramezani-Dakhel, Hadi; Jamil, Tariq; Sulpizi, Marialore; Heinz, Hendrik (December 2018). "Insight into induced charges at metal surfaces and biointerfaces using a polarizable Lennard–Jones potential" (in en). Nature Communications 9 (1): 716. doi:10.1038/s41467-018-03137-8. ISSN 2041-1723. PMID 29459638. PMC 5818522. 
  23. 23.0 23.1 D. C. Rapaport (1 April 2004). The Art of Molecular Dynamics Simulation. Cambridge University Press. ISBN 978-0-521-82568-9. 
  24. Stachurski, Zbigniew H., Fundamentals of Amorphous Solids: Structure and Properties, p. 15 
  25. Pengfei, Li; Merz Jr., Kenneth M. (2014), "Taking into Account the Ion-induced Dipole Interaction in the Nonbonded Model of Ions", Journal of Chemical Theory and Computation 10 (1): 289–297, doi:10.1021/ct400751u 
  26. Pengfei, Li; Son, Lin Frank; Merz Jr., Kenneth M. (2015), "Parameterization of Highly Charged Metal Ions Using the 12-6‑4 LJ-Type Nonbonded Model in Explicit Water", Journal of Physical Chemistry B 119: 883–895, doi:10.1021/jp505875v 

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