Landes François P, Biroli Giulio, Dauchot Olivier, Liu Andrea J, Reichman David R
Université Paris-Saclay, CNRS, Inria, Laboratoire de recherche en informatique, TAU team, 91405 Orsay, France.
Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-Diderot, Sorbonne Paris Cité, 75005 Paris, France.
Phys Rev E. 2020 Jan;101(1-1):010602. doi: 10.1103/PhysRevE.101.010602.
We compare glassy dynamics in two liquids that differ in the form of their interaction potentials. Both systems have the same repulsive interactions but one has also an attractive part in the potential. These two systems exhibit very different dynamics despite having nearly identical pair correlation functions. We demonstrate that a properly weighted integral of the pair correlation function, which amplifies the subtle differences between the two systems, correctly captures their dynamical differences. The weights are obtained from a standard machine learning algorithm.
我们比较了两种液体中的玻璃态动力学，这两种液体的相互作用势形式不同。两个系统都具有相同的排斥相互作用，但其中一个系统的势还具有吸引部分。尽管这两个系统的对关联函数几乎相同，但它们表现出非常不同的动力学。我们证明，对关联函数的适当加权积分放大了两个系统之间的细微差异，能够正确地捕捉它们的动力学差异。权重是通过一种标准的机器学习算法获得的。
