Department of Physics, Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat Gan 5290002, Israel.
J Chem Phys. 2019 Apr 7;150(13):134502. doi: 10.1063/1.5083218.
We use Langevin dynamics simulations to study dense two-dimensional systems of particles where all binary interactions are different in the sense that each interaction parameter is characterized by a randomly chosen number. We compare two systems that differ by the probability distributions from which the interaction parameters are drawn: uniform (U) and exponential (E). Both systems undergo neighborhood identity ordering and form metastable clusters in the fluid phase near the liquid-solid transition, but the effects are much stronger in E than in U systems. Possible implications of our results for the control of the structure of multicomponent alloys are discussed.
我们使用朗之万动力学模拟来研究二维密集粒子系统，其中所有的二元相互作用在不同的意义上都是不同的，因为每个相互作用参数都由随机选择的数字来描述。我们比较了两个系统，它们的相互作用参数的概率分布不同：均匀（U）和指数（E）。这两个系统都经历了近邻同型序化，并在接近液-固转变的流体相中形成了亚稳团簇，但在 E 系统中这些影响比在 U 系统中要强得多。我们的结果对控制多组分合金的结构可能具有的意义进行了讨论。
