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Plasma-Assisted Molecular Beam Epitaxy Growth of Mg3N2 and Zn3N2 Thin Films
Published on: May 11, 2019
Growth-Mode Engineering of Epitaxial TiO2 Thin Films for Room-Temperature Hydrogen Sensing and Battery Safety
Yuanyuan Fu1,2, Hanwen Chi1,2, Ni Tu1,2
1State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou 310058, China.
Abstract:
Achieving reliable hydrogen sensing at room temperature remains a critical challenge due to the limited carrier transport and unstable surface chemistry of conventional polycrystalline oxides. Here, we demonstrate that precise growth-mode control of epitaxial anatase TiO2 thin films via sputtering atmosphere engineering provides an effective route to overcoming these limitations. By systematically tuning the Ar/O2 ratio, the TiO2 growth mode transitions from a defective island-like mode to a layer-by-layer mode and finally to a stress-induced island. The film deposited at an 8/1 Ar/O2 ratio achieves an ideal combination of perfect crystallinity, an atomically flat surface, and a balanced oxygen vacancy concentration, yielding a clean and well-defined Pd-TiO2 interface upon catalyst deposition. The resulting Pd/TiO2 sensor exhibits exceptional room-temperature hydrogen sensing performance: a strong response of 11.34 to 100 ppm of H2, a low detection limit (5 ppm), excellent selectivity over other battery abuse gases, remarkable humidity resistance, and long-term stability. Comprehensive structural and mechanistic analyses reveal that the superior performance originates from an efficient interface-dominated sensing mechanism, rather than the conventional surface reaction pathway. This work establishes a "structure over stoichiometry" paradigm for developing advanced gas sensors and provides an effective route toward high-reliability, low-power hydrogen safety monitoring.
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What is a Mode?
There can be more than one mode in a data set if multiple values have the same highest frequency. For instance, suppose that the Statistics exam scores of 20 students are: 50; 53; 59; 59; 63; 63; 72; 72; 72; 72; 72; 76; 78; 81; 83; 84; 84; 84; 90; 93. Here, the mode is 72, as it occurs most frequently, five times.
A data set with two modes is called bimodal. For example,...

