Exploring transition pathways in the Landau-Brazovskii model
Zhiyi Zhang, Gang Cui, Kai Jiang, An-Chang Shi, Pingwen Zhang, Jianyuan Yin, Lei Zhang
TL;DR
This work addresses how modulated phases in the three-dimensional Landau--Brazovskii model transform via nucleation-driven transitions. It develops and applies a LB saddle dynamics framework to extract minimum-energy pathways and transition states, aided by CAM-based discretization and adaptive domains. The results map a phase diagram with eight equilibria and reveal the structure of critical nuclei, Hessian spectra, and energy barriers across seven representative transitions, demonstrating systematic parameter dependencies. The approach provides a general, computationally tractable route to understanding nucleation mechanisms in modulated-phase systems and could guide analyses of block copolymers and related materials in mean-field regimes.
Abstract
The Landau-Brazovskii model provides a theoretical framework for describing various phases arising from competing short- and long-range interactions in many physical systems. In this work, we investigate phase transitions among various ordered phases within the three-dimensional Landau-Brazovskii model. We construct the phase diagram of this model, which encompasses eight distinct phases, and systematically compute the transition pathways connecting various metastable and stable states using the Landau-Brazovskii saddle dynamics. Along each transition pathway, the critical nucleus is identified with some detailed analyses of its shape, energy barrier, and Hessian eigenvalues. Furthermore, we explore how the transition state is influenced by model parameters, revealing systematic trends in critical nucleus sizes and energy barrier heights. Our results provide a comprehensive characterization of the nucleation mechanisms within the Landau-Brazovskii model and offer valuable insights into the structural transformations of modulated-phase systems.
