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Multiband nodeless superconductivity near the charge-density-wave quantum critical point in ZrTe(3-x)Sex
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作者 崔珊 何兰坡 +3 位作者 洪晓晨 朱相德 Cedomir Petrovic 李世燕 《Chinese Physics B》 SCIE EI CAS CSCD 2016年第7期89-92,共4页
It was found that selenium doping can suppress the charge-density-wave(CDW) order and induce bulk superconductivity in ZrTe3. The observed superconducting dome suggests the existence of a CDW quantum critical point... It was found that selenium doping can suppress the charge-density-wave(CDW) order and induce bulk superconductivity in ZrTe3. The observed superconducting dome suggests the existence of a CDW quantum critical point(QCP) in ZrTe3-xSex near x ≈ 0.04. To elucidate the superconducting state near the CDW QCP, we measure the thermal conductivity of two ZrTe(3-x)Sex single crystals(x = 0.044 and 0.051) down to 80 m K. For both samples, the residual linear term κ0/T at zero field is negligible, which is a clear evidence for nodeless superconducting gap. Furthermore, the field dependence of κ0/T manifests a multigap behavior. These results demonstrate multiple nodeless superconducting gaps in ZrTe(3-x)Sex,which indicates conventional superconductivity despite of the existence of a CDW QCP. 展开更多
关键词 superconductivity charge-density-wave order thermal transport measurement gap structure
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ORDERED WEIGHTED DISTANCE MEASURE 被引量:16
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作者 Zeshui XU Jian CHEN 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2008年第4期432-445,共14页
The aim of this paper is to develop an ordered weighted distance (OWD) measure, which is the generalization of some widely used distance measures, including the normalized Hamming distance, the normalized Euclidean ... The aim of this paper is to develop an ordered weighted distance (OWD) measure, which is the generalization of some widely used distance measures, including the normalized Hamming distance, the normalized Euclidean distance, the normalized geometric distance, the max distance, the median distance and the rain distance, etc. Moreover, the ordered weighted averaging operator, the generalized ordered weighted aggregation operator, the ordered weighted geometric operator, the averaging operator, the geometric mean operator, the ordered weighted square root operator, the square root operator, the max operator, the median operator and the rain operator are also the special cases of the OWD measure. Some methods depending on the input arguments are given to determine the weights associated with the OWD measure. The prominent characteristic of the OWD measure is that it can relieve (or intensify) the influence of unduly large or unduly small deviations on the aggregation results by assigning them low (or high) weights. This desirable characteristic makes the OWD measure very suitable to be used in many actual fields, including group decision making, medical diagnosis, data mining, and pattern recognition, etc. Finally, based on the OWD measure, we develop a group decision making approach, and illustrate it with a numerical example. 展开更多
关键词 Group decision making ordered weighted distance (OWD) measure aggregation operator
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