论文标题

与随机成对相互作用的二体混合物中粒子之间的吸引力增强

Enhanced attraction between particles in a bidisperse mixture with random pair-wise interactions

论文作者

Priya, Madhu, Jaiswal, Prabhat K.

论文摘要

由于多组分金属合金和复杂的流体的兴趣不断增长,我们研究了具有尺寸和能量多分散性的复杂混合物。通过考虑粒子之间的随机成对相互作用来引入系统中的能量多分散性。进行了广泛的分子动力学模拟,以计算势能能量和邻域身份排序(NIO)参数,作为温度的函数,包括大量参数,包括大小比率,以及两种物种的浓度,通过将其从高温流体状态淬灭到结晶状态。我们的发现表明,在添加不同大小的颗粒时,邻里身份排序的增强。此外,通过调整颗粒的尺寸比率来实现NIO参数相对较高的增加。我们还建议NIO参数是区分具有不同尺寸比率和浓度值的系统(低于液体到固体过渡温度)的好标记。还讨论了冷却速率对NIO参数的影响。

Motivated by growing interests in multicomponent metallic alloys and complex fluids, we study a complex mixture with bidispersity in size and polydispersity in energy. The energy polydispersity in the system is introduced by considering random pair-wise interactions between the particles. Extensive molecular dynamics simulations are performed to compute potential energy and neighborhood identity ordering (NIO) parameter as a function of temperature for a wide range of parameters including size-ratio and concentration of the two species by quenching it from a high temperature fluid state to a crystalline state. Our findings demonstrate an enhancement of the neighborhood identity ordering on addition of particles of different sizes. Moreover, a comparatively higher increase in NIO parameter is achieved by tuning the size-ratio of the particles. We also propose NIO parameter to be a good marker to differentiate systems (below the liquid-to-solid transition temperature) having different values of size-ratio and concentrations. Effect of cooling rates on NIO parameter is also discussed.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源