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人口的快速增长和高能源需求产业造成了严重的环境问题。太阳能等替代性的清洁能源对于缓解能源危机和温室效应至关重要。光催化是一种很有前途的方法,但它在转化率、效率和规模化方面存在局限性。光热催化则结合了光化学和光热效应,是在温和条件下有效催化化学反应的新概念。近年来,与传统的光热催化剂相比,硅纳米结构阵列在光热CO2还原反应中表现出独特的催化性能优势。作为一种平台,它表现出优异的光收集能力、高比表面积以及多样化的材料复合选择。本文综述了光热催化CO2转化的概念和原理,硅纳米结构阵列的功能,以及利用硅纳米结构阵列在光热催化CO2转化方面的最新进展,最终将为高性能纳米结构阵列光热CO2催化剂的发展方向提供指导。 相似文献
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We investigate the impact of random telegraph noise (RTN) on the threshold voltage of multi-level NOR flash memory. It is found that the threshold voltage variation (ΔVth) and the distribution due to RTN increase with the programmed level (Vth) of flash cells. The gate voltage dependence of RTN amplitude and the variability of RTN time constants suggest that the large RTN amplitude and distribution at the high program level is attributed to the charge trapping in the tunneling oxide layer induced by the high programming voltages. A three-dimensional TCAD simulation based on a percolation path model further reveals the contribution of those trapped charges to the threshold voltage variation and distribution in flash memory. 相似文献
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