Improving collective variables: The case of crystallization

• Published in: The Journal of chemical physics 2019-03, Vol.150 (9), p.094509-094509
• Main Authors: Zhang, Yue-Yu, Niu, Haiyang, Piccini, GiovanniMaria, Mendels, Dan, Parrinello, Michele
• Format: Article
• Language: English
• Subjects: Aluminum; Crystallization; Discriminant analysis; Identification methods; Independent component analysis; Metastable state; Physics; Sampling methods; X-ray diffraction
• ISSN: 0021-9606; 1089-7690
• DOI: 10.1063/1.5081040

Several enhanced sampling methods, such as umbrella sampling or metadynamics, rely on the identification of an appropriate set of collective variables. Recently two methods have been proposed to alleviate the task of determining efficient collective variables. One is based on linear discriminant analysis; the other is based on a variational approach to conformational dynamics and uses time-lagged independent component analysis. In this paper, we compare the performance of these two approaches in the study of the homogeneous crystallization of two simple metals. We focus on Na and Al and search for the most efficient collective variables that can be expressed as a linear combination of X-ray diffraction peak intensities. We find that the performances of the two methods are very similar. Wherever the different metastable states are well-separated, the method based on linear discriminant analysis, based on its harmonic version, is to be preferred because simpler to implement and less computationally demanding. The variational approach, however, has the potential to discover the existence of different metastable states.