Crystal structure prediction at finite temperatures
Ivan A. Kruglov (1, 2), Alexey V. Yanilkin (1, 2), Yana Propad, (1), Artem R. Oganov (3) ((1) Moscow Institute of Physics, Technology, (2), Dukhov Research Institute of Automatics (VNIIA), (3) Skolkovo Institute of, Science, Technology)

TL;DR
This paper introduces a new computational method for predicting crystal structures at finite temperatures, enabling more accurate phase diagram predictions by incorporating entropy effects through molecular dynamics and thermodynamic corrections.
Contribution
The authors develop an efficient approach combining molecular dynamics with force fields and thermodynamic perturbation theory to accurately predict crystal structures at finite temperatures.
Findings
Wider stability field of hcp-phase of aluminum than previously thought
Transition temperature for WB's $eta$-phase at 2789 K
Clapeyron slope of MgSiO3 phase transition is 5.88 MPa/K
Abstract
Crystal structure prediction is a central problem of theoretical crystallography and materials science, which until mid-2000s was considered intractable. Several methods, based on either energy landscape exploration or, more commonly, global optimization, largely solved this problem and enabled fully non-empirical computational materials discovery. A major shortcoming is that, to avoid expensive calculations of the entropy, crystal structure prediction was done at zero Kelvin and searched for the global minimum of the enthalpy, rather than free energy. As a consequence, high-temperature phases (especially those which are not quenchable to zero temperature) could be missed. Here we develop an accurate and affordable solution, enabling crystal structure prediction at finite temperatures. Structure relaxation and fully anharmonic free energy calculations are done…
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Taxonomy
TopicsMachine Learning in Materials Science · High-pressure geophysics and materials · Force Microscopy Techniques and Applications
