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Melting of Argon Cluster: Dependence of Caloric Curves on MD Simulation Parameters

机译:氩团簇的熔化:热量曲线对MD模拟参数的依赖

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We report on molecular dynamics simulations performed using microcanonical ensemble to predict the melting of argon particles in nanometer size range 10 nm and to investigate the effect of the time step integration. We use the Lennard- Jones potential functions to describe the interatomic interactions, and the results are evaluated by using caloric curves of the melting phenomenon. Thermodynamic properties, including the total energy, Lindemann parameter, kinetic and potential distribution’s functions, are used to characterize the melting process. The data shows bimodal behavior only in a certain interval of integration time step Δt, while the internal energy increases monotonically with the temperature. For the other time step values, the back bending disappears. We claim that negative specific heat is related to a possible decrease of entropy in an isolated system; this can be interpreted as a result of the internal interactions, especially attractive process and specific relaxation time.
机译:我们报告使用微规范集合执行的分子​​动力学模拟,以预测10 nm纳米尺寸范围内的氩粒子的熔化,并研究时步积分的影响。我们使用Lennard-Jones势函数来描述原子间的相互作用,并通过使用熔化现象的热量曲线来评估结果。热力学性质,包括总能量,林德曼参数,动力学和电势分布的函数,用于表征熔融过程。数据仅在积分时间步长Δt的特定时间间隔内显示双峰行为,而内部能量随温度单调增加。对于其他时间步长值,后弯消失。我们认为负比热与隔离系统中熵的可能降低有关;这可以解释为内部相互作用的结果,尤其是有吸引力的过程和特定的松弛时间。

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