Abstract
The phenomenon of phase behavior is the organization of many-body systems into forms which reflect the interplay between constraints imposed macroscopically (through the prevailing external conditions) and microscopically (through the interactions between the elementary constituents). In this article we focus on generic computational strategies needed to address the problems of phase behavior, or more specifically the task of mapping equilibrium phase boundaries. © 2006 Springer.
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CITATION STYLE
Wilding, N. B. (2006). Generic sampling strategies for monte carlo simulation of phase behaviour. Lecture Notes in Physics, 703, 39–66. https://doi.org/10.1007/3-540-35273-2_2
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