Origin of Reduced Coercive Field in ScAlN: Synergy of Structural Softening and Dynamic Atomic Correlations
Ryotaro Sahashi, Po-Yen Chen, Teruyasu Mizoguchi

TL;DR
This study reveals that the reduced coercive field in ScAlN ferroelectrics results from combined structural softening and dynamic atomic correlations, uncovered through advanced simulations at near-first-principles accuracy.
Contribution
It introduces a machine-learning-based simulation framework to elucidate the atomic-scale mechanisms behind Ec reduction in ScAlN, integrating structural and dynamic effects.
Findings
Dynamic atomic displacements trigger polarization reversal.
Sc atoms exhibit larger thermal vibrations influencing switching.
Cooperative atomic rearrangements lower the switching barrier.
Abstract
Among wurtzite-type ferroelectrics, scandium-doped aluminum nitride (ScAlN) has emerged as a leading candidate for CMOS-compatible low-voltage memory, combining strong spontaneous polarization with process compatibility. A remarkable feature of this system is the pronounced reduction of the coercive field (Ec) with increasing Sc concentration; however, its microscopic origin remains poorly understood at the atomic scale, particularly under finite temperature and applied electric fields. Here, we integrate a density-functional-theory-accurate machine-learning force field with an equivariant neural-network-based Born effective charge model to perform large-scale electric-field-driven molecular dynamics simulations at near-first-principles accuracy. The framework correctly reproduces the experimentally observed qualitative trends in key experimental trends, including the decrease in the…
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Taxonomy
TopicsFerroelectric and Negative Capacitance Devices · Machine Learning in Materials Science · Advanced Sensor and Energy Harvesting Materials
