Thermal Stabilization of Defect Charge States and Finite-Temperature Charge Transition Levels
Tobias Hainer, Ethan Berger, Esm\'ee Berger, Olof Hildeberg, Paul Erhart, and Julia Wiktor

TL;DR
This paper demonstrates how temperature affects defect charge transition levels in materials, revealing shifts and new stable states that static models overlook, using machine learning and thermodynamic integration.
Contribution
It introduces a method combining machine-learned potentials and thermodynamic integration to accurately compute temperature-dependent CTLs in various materials.
Findings
CTLs shift with temperature in MgO, LiF, and CsSnBr3.
A neutral charge state in CsSnBr3 becomes stable above 60 K.
Static zero-Kelvin models can miss significant CTL shifts and new stable states.
Abstract
Point defects introduce localized electronic states that critically affect carrier trapping, recombination, and transport in functional materials. The associated charge transition levels (CTLs) can depend on temperature, requiring accurate treatment of vibrational and electronic free-energy contributions. In this work, we use machine-learned interatomic potentials to efficiently compute temperature-dependent CTLs for vacancies in MgO, LiF, and CsSnBr3. Using thermodynamic integration, we quantify free-energy differences between charge states and calculate the vibrational entropy contributions at finite temperatures. We find that CTLs shift with temperature in MgO, LiF and CsSnBr3 from both entropy and electronic contributions. Notably, in CsSnBr3 a neutral charge state becomes thermodynamically stable above 60 K, introducing a temperature-dependent Fermi-level window absent at 0 K. We…
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Taxonomy
TopicsMachine Learning in Materials Science · Thermal properties of materials · High-pressure geophysics and materials
