2001
DOI: 10.1143/jpsj.70.75
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An Improved Symplectic Integrator for Nosé-Poincaré Thermostat

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Cited by 130 publications
(81 citation statements)
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“…34 In the following we use reduced LJ units, assuming 11 , ⑀ 11 , and ͱ m 1 11 2 / ⑀ 11 ͑where m 1 is mass͒ as units of distance, energy, and time, respectively. We performed MD simulations in the NVT ensemble using the Nosé-Poincaré thermostat 35 with a mass parameter Q = 5.0. We considered five isochoric paths in the density range of 1.150Յ Յ 1.350.…”
Section: ͑4͒mentioning
confidence: 99%
“…34 In the following we use reduced LJ units, assuming 11 , ⑀ 11 , and ͱ m 1 11 2 / ⑀ 11 ͑where m 1 is mass͒ as units of distance, energy, and time, respectively. We performed MD simulations in the NVT ensemble using the Nosé-Poincaré thermostat 35 with a mass parameter Q = 5.0. We considered five isochoric paths in the density range of 1.150Յ Յ 1.350.…”
Section: ͑4͒mentioning
confidence: 99%
“…Note that the splitting suggested here is different than that used recently by Nosé 26 in his variation of the Nosé -Poincaré method, but the basic technique is similar. Integration of the term…”
Section: A Symplectic Numerical Methods For Nosé -Poincaré Gdd For Dismentioning
confidence: 79%
“…Dealing with negative powers of operators involved, these formulas are supplementary to those that can be found in [32]. Over because of their simplicity, we considered linear time-depending canonical mappings in phase space partially inspired by the line undertook by Mostafazadeh in [36], as well as by the manner in which symplectic time rescaling approaches are employed for the development of adaptive techniques in molecular dynamics simulations [43]- [45]. By focusing on the simplest of these problems, we next moved to our second scope of solving some concrete examples of operator equations in phase space that pertain non-autonomous systems.…”
Section: Discussionmentioning
confidence: 99%