Path integral molecular dynamics
Path integral molecular dynamics (PIMD) is a method of incorporating quantum mechanics into molecular dynamics simulations using Feynman path integrals. Such simulations are particularly useful for studying nuclear quantum effects in light atoms and molecules such as hydrogen, helium, neon and argon, as well as in quantum rotators such as methane and hydrogen bonded systems such as water. In PIMD, one uses the Born–Oppenheimer approximation to separate the wavefunction into a nuclear part and an electronic part. The nuclei are treated quantum mechanically by mapping each quantum nuclei onto a classical system of several fictitious particles connected by springs (harmonic potentials) and governed by an effective Hamiltonian, which is derived from Feynman's path integral. The resulting classical system, although complex, can be solved relatively quickly. There are now a number of commonly used condensed matter computer simulation techniques that make use of the path integral formulation including centroid molecular dynamics (CMD),[1][2][3][4][5] and ring polymer molecular dynamics (RPMD)[6][7]. The same techniques are also used in path integral Monte Carlo (PIMC).
Theory behind the method
In the path integral formulation the canonical partition function (in one dimension) is written as [8]
where is the Euclidean action, given by[8]
where is the path in time and is the Hamiltonian. As is well known, one can identify the inverse temperature, with an imaginary time , (a technique known as a Wick rotation) thus connecting this path integral to standard path integrals appearing elsewhere in physics.[9] Trotter's formula is given by:[10]
Where is called the Trotter number. In the limit where this equation becomes exact. In the case where one obtains classical dynamics. Path integral molecular dynamics exploits this formula by choosing a finite , which usually ranges between 5 and 100.
Application of this formula leads to:[8]
where the Euclidean time is discretized in units of
and
It has long been recognized that there is an isomorphism between this discretized quantum mechanical description, and the classical statistical mechanics of polyatomic fluids, in particular flexible ring molecules,[11] due to the periodic boundary conditions in imaginary time It can be seen from the first term of the above equation that each particle interacts with is neighbors and via a harmonic spring. The second term provides the internal potential energy.
In three dimensions one has partition function in terms of the density operator
which, thanks to the Trotter's formula, allows one to tease out , where
and
The internal energy is given by
The average kinetic energy is known as the primitive estimator, i.e.
Rotational degrees of freedom
In the case of systems having rotational degrees of freedom the Hamiltonian can be written in the form:[12]
where the rotational part of the kinetic energy operator is given by:[12]
where are the components of the angular momentum operator, and are the moments of inertia.
Combination with other simulation techniques
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Applications
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The technique has been used to calculate time correlation functions.[13]
References
Portions of this page come come from page Path Integral Formulation on the SklogWiki, licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.
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instead. - ^ Gillan, M. J. (1990). "The path-integral simulation of quantum systems, Section 2.4". Computer Modelling of Fluids Polymers and Solids. NATO ASI Series C. Vol. 293. pp. 155–188. ISBN 978-0-7923-0549-1.
{{cite book}}
: Unknown parameter|editors=
ignored (|editor=
suggested) (help) - ^ Trotter, H. F. (1959). "On the Product of Semi-Groups of Operators". Proceedings of the American Mathematical Society. 10 (4): 545–551. doi:10.1090/S0002-9939-1959-0108732-6. JSTOR 2033649.
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Further reading
- Feynman, R. P. (1972). "Chapter 3". Statistical Mechanics. Reading, Massachusetts: Benjamin. ISBN 0-201-36076-4.
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External links
- "Density matrices and path integrals" (computer code). SMAC-wiki.
- John Shumway; Matthew Gilbert (2008). "Path Integral Monte Carlo Simulation".
{{cite web}}
: CS1 maint: multiple names: authors list (link)