Dynamical models of molecular chains and efficient integration algorithms

Chains of point masses and chains of rigid bodies are used to model biological polymers. To investigate their dynamics we propose a method which allows an efficient realization of the constraints jointly with a simple and accurate integration of the free rigid body motion. The method is quite effect...

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Vydané v:Communications in nonlinear science & numerical simulation Ročník 14; číslo 2; s. 593 - 612
Hlavní autori: Bazzani, Armando, Benedetti, Carlo, Rambaldi, Sandro, Rossi, Luca, Turchetti, Giorgio
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.02.2009
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ISSN:1007-5704, 1878-7274
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Abstract Chains of point masses and chains of rigid bodies are used to model biological polymers. To investigate their dynamics we propose a method which allows an efficient realization of the constraints jointly with a simple and accurate integration of the free rigid body motion. The method is quite effective to evolute the geodesic flow of a rigid body chain and the global performance depends on the computational complexity of the algorithms used to compute the interaction forces. Our approach is suitable to describe a chain of rigid bodies immersed in a thermal bath. In the method we propose, the constraints are realized by hard springs whose elastic constant is set to maximize the energy dissipation rate of a Runge–Kutta integrator scheme. Moreover the use of local Lagrangian coordinates is introduced using the possibility of a continuous change of chart, such that the distance from the coordinate singularities is the highest possible. For a chain of point masses the numerical results are checked with another method where the constraints are exactly realized by means of Lagrangian coordinates. When the chain is subject to regular interactions potentials plus a thermal bath the exact and approximate constraints realization provide comparable results.
AbstractList Chains of point masses and chains of rigid bodies are used to model biological polymers. To investigate their dynamics we propose a method which allows an efficient realization of the constraints jointly with a simple and accurate integration of the free rigid body motion. The method is quite effective to evolute the geodesic flow of a rigid body chain and the global performance depends on the computational complexity of the algorithms used to compute the interaction forces. Our approach is suitable to describe a chain of rigid bodies immersed in a thermal bath. In the method we propose, the constraints are realized by hard springs whose elastic constant is set to maximize the energy dissipation rate of a Runge-Kutta integrator scheme. Moreover the use of local Lagrangian coordinates is introduced using the possibility of a continuous change of chart, such that the distance from the coordinate singularities is the highest possible. For a chain of point masses the numerical results are checked with another method where the constraints are exactly realized by means of Lagrangian coordinates. When the chain is subject to regular interactions potentials plus a thermal bath the exact and approximate constraints realization provide comparable results.
Author Rambaldi, Sandro
Turchetti, Giorgio
Bazzani, Armando
Benedetti, Carlo
Rossi, Luca
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Issue 2
Keywords Runge–Kutta
45.40.−f
Rigidity constraints
Flipping rule
07.05.Tp
Hard springs
02.60.Lj
36.20.Fz
Molecular chains
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Snippet Chains of point masses and chains of rigid bodies are used to model biological polymers. To investigate their dynamics we propose a method which allows an...
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SubjectTerms Algorithms
Biological
Computer simulation
Flipping rule
Hard springs
Mathematical models
Molecular chains
Nonlinear dynamics
Rigid-body dynamics
Rigidity constraints
Runge-Kutta method
Runge–Kutta
Thermal baths
Title Dynamical models of molecular chains and efficient integration algorithms
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