Thickness-dependent elastic strain in Stranski–Krastanow growth
文献信息
Alexander V. Voitsekhovskii
In this paper, we comprehensively consider the effect of the dependence of elastic strain on the thickness of deposited material on the formation of two-dimensional layers and quantum dots by the Stranski–Krastanow mechanism. The nucleation and growth of germanium quantum dots on silicon surface (100) are used as a model system for conducting experimental studies and theoretical calculations. A detailed dependence of the value of elastic strains on the effective thickness of deposited germanium is obtained. It is also shown that the magnitude of the 1/N superstructural periodicity in this system reaches 12.5%. Based on the obtained thickness dependence of lattice mismatch, a new theory is constructed for calculating the parameters of the formed islands, generalizing previously used thermodynamic models. The equilibrium and critical thicknesses of the wetting layer are determined for the first time under the assumption that lattice mismatch depends on the thickness of the deposited material. In this approximation, some unexpected results are obtained that refine traditional thermodynamic models and confirmed by experimental data. The results of this work and proposed theoretical model may be applied for strain engineering in other material systems where growth of two-dimensional materials and quantum-sized islands by the Stranski–Krastanow mechanism is realized.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.














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