Remarkable enhancement in the Kapitza resistance and electron potential barrier of chemically modified In2O3(ZnO)9 natural superlattice interfaces
Literature Information
Superlattice interfaces can efficiently scatter phonons and filter low-energy electrons, thereby reducing the thermal conductivity to the “alloy limit” of crystalline solids and increasing the Seebeck coefficient substantially. In this paper, we report a two-fold reduction in the thermal conductivity and an improvement of about 170% in the Seebeck coefficient of an existing In2O3(ZnO)9 superlattice by chemically modifying the interface with small additions of aluminum. Using a classical model for the interface transport, we attribute such significant changes to the increase in both the Kapitza (thermal) resistance and the electron potential barrier height of the InO2− superlattice interfaces that are modified by Al3+. The present work opens a new avenue of research showing that the superlattice interfaces can be chemically tuned for specific properties, which can be investigated in both experimental and computational ways, and also suggests a new route for material design for applications in areas like thermoelectrics.
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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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