We calculate the magnetic properties of small Fe N clusters( N =2～7,9,13,15) by using a parameterized Hubbard tight binding spd band model Hamiltonian, with the parameters obtained from nonorthogonal Hamiltonian para...We calculate the magnetic properties of small Fe N clusters( N =2～7,9,13,15) by using a parameterized Hubbard tight binding spd band model Hamiltonian, with the parameters obtained from nonorthogonal Hamiltonian parameters. the average magnetic moments, and the spin polarized charge distribution within clusters are in agreement with those obtained by first principle and tight binding calculations. The effect of the nonorthogonal basis is discussed.展开更多
有效辨识关键节点对增强网络韧性、提高运行能力具有重要意义,为提高航路网络关键节点识别的准确性,提出基于TOPSIS(technique for order preference by similarity to an ideal solution)-灰色关联分析法的综合评价方法和航路网络节点...有效辨识关键节点对增强网络韧性、提高运行能力具有重要意义,为提高航路网络关键节点识别的准确性,提出基于TOPSIS(technique for order preference by similarity to an ideal solution)-灰色关联分析法的综合评价方法和航路网络节点分级方法.首先,从复杂网络统计特性、交通流量特性、脆弱性3个方面构建航路网络关键节点评价指标体系;通过引入相对熵改进逼近理想值排序法,并结合灰色关联分析法综合评价航路点重要程度,采用基于K-means聚类方法有效划分航路节点等级;最后,以民航空管实际运行数据为实例,开展关键节点识别.研究表明:相较于单一指标,所建航路网络节点评价指标体系获得的评价结果更加全面;改进TOPSIS-灰色关联分析方法相较于传统TOPSIS法评价结果更加准确;所提识别方法发现了我国华东地区典型繁忙航路网络中有29个关键节点,其在网络结构及交通流量方面具有关键作用.展开更多
文摘We calculate the magnetic properties of small Fe N clusters( N =2～7,9,13,15) by using a parameterized Hubbard tight binding spd band model Hamiltonian, with the parameters obtained from nonorthogonal Hamiltonian parameters. the average magnetic moments, and the spin polarized charge distribution within clusters are in agreement with those obtained by first principle and tight binding calculations. The effect of the nonorthogonal basis is discussed.
文摘有效辨识关键节点对增强网络韧性、提高运行能力具有重要意义,为提高航路网络关键节点识别的准确性,提出基于TOPSIS(technique for order preference by similarity to an ideal solution)-灰色关联分析法的综合评价方法和航路网络节点分级方法.首先,从复杂网络统计特性、交通流量特性、脆弱性3个方面构建航路网络关键节点评价指标体系;通过引入相对熵改进逼近理想值排序法,并结合灰色关联分析法综合评价航路点重要程度,采用基于K-means聚类方法有效划分航路节点等级;最后,以民航空管实际运行数据为实例,开展关键节点识别.研究表明:相较于单一指标,所建航路网络节点评价指标体系获得的评价结果更加全面;改进TOPSIS-灰色关联分析方法相较于传统TOPSIS法评价结果更加准确;所提识别方法发现了我国华东地区典型繁忙航路网络中有29个关键节点,其在网络结构及交通流量方面具有关键作用.
