Maximum Likelihood Analysis of Reaction Coordinates during Solidification in Ni
Grisell Diaz Leines, Jutta Rogal

TL;DR
This study uses transition path sampling and maximum likelihood analysis to identify key reaction coordinates in Ni solidification, revealing the importance of pre-structured liquid regions and a non-classical two-step nucleation mechanism.
Contribution
It introduces a novel approach combining transition path sampling with maximum likelihood analysis to identify complex reaction coordinates in Ni crystallization, challenging classical nucleation theory.
Findings
Pre-structured liquid regions are crucial reaction coordinates.
Crystallization proceeds via a non-classical two-step mechanism.
Pre-structured clusters influence polymorph selection.
Abstract
Understanding the underlying mechanism of crystal nucleation during solidification is a fundamental aspect in the prediction and control of materials properties. Classical nucleation theory (CNT) assumes that homogeneous nucleation occurs via random fluctuations within the supercooled liquid, that the structure of the growing clusters resembles the most stable bulk phase, and that the nucleus size is the sole reaction coordinate (RC) of the process. Many materials are, however, known to exhibit multiple steps during crystallization, forming different polymorphs. As a consequence, more complex RCs are often required to capture all relevant information about the process. In this work, we employ transition path sampling together with a maximum likelihood analysis of candidate order parameters to identify suitable reaction coordinates for the nucleation mechanism during solidification in…
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