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Saturable Absorption Enchantment of Au Nanorods Based on Energy Transfer between Longitudinal and Transverse Energy Levels
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作者 Si Xiao Hui Wang +6 位作者 Sheng Liu Min Li Ying-Wei Wang Jia-Zhang Chen Lu-Hua Guo Jian-Bo Li Jun He 《Chinese Physics Letters》 SCIE CAS CSCD 2018年第6期98-101,共4页
Four kinds of Au nanorods(NRs)with different aspect ratios are designed to adjust the relationship between resonance energy level of longitudinal(L)and transverse(T)modes.During the femto-second Z-scan experimen... Four kinds of Au nanorods(NRs)with different aspect ratios are designed to adjust the relationship between resonance energy level of longitudinal(L)and transverse(T)modes.During the femto-second Z-scan experiments,huge saturable absorption phenomena are observed while the energy level T is located between one to two times of the energylevel L.This means that the energy may transfer between longitudinal and transverse energylevels in the same and/or different Au NRs.It effectively depresses the production of revised saturated absorption and increases the saturable absorption efficiency.This method is significant for the preparation of high-efficiency saturable absorption devices. 展开更多
关键词 Saturable Absorption Enchantment of Au Nanorods Based on Energy Transfer between longitudinal and Transverse Energy levels
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Multivariate Analyses for Finding Significant Track Irregularities to Generate an Optimal Track Maintenance Schedule
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作者 Mami Matsumoto Masashi Miwa Tatsuo Oyama 《American Journal of Operations Research》 2022年第6期261-292,共32页
We first discuss the relationship between the optimal track maintenance scheduling model and an efficient detection method for abnormal track irregularities given by the longitudinal level irregularity displaceme... We first discuss the relationship between the optimal track maintenance scheduling model and an efficient detection method for abnormal track irregularities given by the longitudinal level irregularity displacement (LLID). The results of applying the cluster analysis technique to the sampling data showed that maintenance operation is required for approximately 10% of the total lots, and these lots were further classified into three groups according to the degree of maintenance need. To analyze the background factors for detecting abnormal LLID lots, a principal component analysis was performed;the results showed that the first principal component represents LLIDs from the viewpoints of the rail structure, equipment, and operating conditions. Binomial and ordinal logit regression models (LRMs) were used to quantitatively investigate the determinants of abnormal LLIDs. Binomial LRM was used to characterize the abnormal LLIDs, whereas ordinal LRM was used to distinguish the degree of influence of factors that are considered to have a significant impact on LLIDs. 展开更多
关键词 Multivariate Analysis Track Maintenance Scheduling Track Irregularity longitudinal level Irregularity Displacement Cluster Analysis Principal Component Analysis Binomial Logit Regression Model Ordinal Logit Regression Model
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