Classical density functional theory, unconstrained crystallization, and polymorphic behavior
James F. Lutsko, Julien Lam

TL;DR
This paper investigates the challenges of applying finite temperature density functional theory (ftDFT) to crystallization, identifies numerical instabilities in current models, and demonstrates the method's ability to predict polymorphic behavior in Lennard-Jones systems.
Contribution
It reveals the instability of tensor functionals in ftDFT and shows that reverting to an older model enables successful simulation of crystallization and polymorphism.
Findings
ftDFT can describe crystallization in inhomogeneous systems
Crystallization depends on boundary conditions and protocol
Energy barriers exist between different structural states
Abstract
While in principle, finite temperature density functional theory (ftDFT) should be a powerful tool for the study of crystallization, in practice this has not so far been the case. Progress has been hampered by technical problems which have plagued the study of the crystalline systems using the most sophisticated Fundamental Measure Theory models. In this paper, the reasons for the difficulties are examined and it is proposed that the tensor functionals currently favored are in fact numerically unstable. By reverting to an older, more heuristic model it is shown that all of the technical difficulties are eliminated. Application to a Lennard-Jones fluid results in a demonstration of power of ftDFT to describe crystallization in a highly inhomogeneous system. First, we show that droplets attached to a slightly hydrophobic wall crystallize spontaneously upon being quenched. The resulting…
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