Machine learning boosted  a b   i n i t i o  study of the thermal conductivity of Janus PtSTe van der Waals heterostructures
Resumen: Calculating the thermal conductivity of heterostructures with multiple layers presents a significant challenge for state-of-the-art ab initio methods. In this study we introduce an efficient neural-network force field (NNFF) to explore the thermal transport characteristics of van der Waals heterostructures based on PtSTe, using both the phonon Boltzmann transport equation and molecular dynamics (MD) simulations. Besides demonstrating a remarkable level of agreement with both theoretical and experimental data, our predictions reveal that heterogeneous combinations like PtSTe − PtTe 2 display a notable reduction in thermal conductivity at room temperature, primarily due to broken out-of-plane symmetries and the presence of weak van der Waals interactions. Furthermore, our study highlights the superiority of MD simulations with NNFFs in capturing higher-order anharmonic phonon properties. This is demonstrated through the analysis of the temperature-dependent thermal conductivity curves of PtSTe-based van der Waals heterostructures and advances our understanding of phonon transport in those materials.
Idioma: Inglés
DOI: 10.1103/PhysRevB.109.035417
Año: 2024
Publicado en: Physical Review B 109, 3 (2024)
ISSN: 2469-9950

Factor impacto JCR: 3.7 (2024)
Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 208 / 461 = 0.451 (2024) - Q2 - T2
Categ. JCR: PHYSICS, CONDENSED MATTER rank: 30 / 80 = 0.375 (2024) - Q2 - T2
Categ. JCR: PHYSICS, APPLIED rank: 66 / 187 = 0.353 (2024) - Q2 - T2

Factor impacto CITESCORE: 6.2 - Condensed Matter Physics (Q1) - Electronic, Optical and Magnetic Materials (Q2)

Factor impacto SCIMAGO: 1.303 - Electronic, Optical and Magnetic Materials (Q1) - Condensed Matter Physics (Q1)

Tipo y forma: Article (PostPrint)
Dataset asociado: Code and data for "Machine-learning-boosted ab-initio study of the thermal conductivity of Janus PtSTe van der Waals heterostructures" ( https://zenodo.org/records/10417653)

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