课题基金 / 基金详情

NSF-EC: Magnetotransport in Layered Structures

NSF-EC: Magnetotransport in Layered Structures
NSF-EC:层状结构中的磁输运
批准号:
0131883
负责人:
Peter Levy
金额:
$17.2万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-05-15 至 2005-04-30

项目摘要

项目成果

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中文摘要
翻译
该项目由数学和物理科学理事会材料研究部和多学科活动办公室以及国际部共同资助,是美国国家科学基金会和欧洲委员会在材料科学方面的合作活动(NSF招标01-105)。该项目涉及欧盟计算磁电学研究培训网络(RTN),其牵头机构包括达斯伯里实验室(英国)、FZ Juelich(德国)、MSP-MPI Halle(德国)、CNRS Orsay(法国)、维也纳工业大学(奥地利)、特温特大学(荷兰)、乌普萨拉大学(瑞典)、布达佩斯科学院(匈牙利)和布尔诺材料物理研究所(捷克)。这笔拨款将使纽约大学的美国研究小组能够与欧共体RTN成员合作。纽约大学的小组专注于磁电子学的分析和模型计算,而欧共体的专业知识则是从头计算固体的电子结构和磁性和输运性质。RTN正在使用从头算方法来评估磁性多层的输运性质和隧道结的重要性,这些特征是从基于模型哈密顿量的计算中确定的。具体来说,对于金属多层,杂质的自旋翻转散射对磁电阻(MR)的作用将被研究,以及垂直于层的电流的电阻率和磁电阻,以及各向异性在磁性多层中与巨磁电阻相比的作用。对于磁性隧道结,面内晶格常数和界面层间距离将被放宽,以确定对隧道的影响。此外,电极/势垒界面的表面带结构,通过全电位方法确定,将纳入结mr的计算%%% %该项目由数学和物理科学理事会内的材料研究部和多学科活动办公室共同资助。作为美国国家科学基金会和欧洲委员会在材料科学方面的合作活动(NSF征求01-105)。该项目涉及欧盟计算磁电学研究培训网络(RTN),其牵头机构包括达斯伯里实验室(英国)、FZ Juelich(德国)、MSP-MPI Halle(德国)、CNRS Orsay(法国)、维也纳工业大学(奥地利)、特温特大学(荷兰)、乌普萨拉大学(瑞典)、布达佩斯科学院(匈牙利)和布尔诺材料物理研究所(捷克)。这笔拨款将使纽约大学的美国研究小组能够与欧共体RTN成员合作。纽约大学的小组专注于磁电子学的分析和模型计算,而欧共体的专业知识则是从头计算固体的电子结构和磁性和输运性质。***
英文摘要
This project is co-funded by the Division of Materials Research and the Office of Multidisciplinary Activities, both within the Directorate for Mathematical and Physical Sciences, and the International Division as a cooperative activity in materials sciences between the National Science foundation and the European Commission (NSF solicitation 01-105). The project involves the EC Research Training Network (RTN) on Computational Magnetoelectronics whose lead institutions include Daresbury Laboratory (United Kingdom), FZ Juelich (Germany), MSP-MPI Halle (Germany), CNRS Orsay (France), TU Vienna (Austria), University of Twente (Netherlands), Uppsala University (Sweden), Academy of Sciences - Budapest (Hungary) and Institute of Physics of Materials Brno (Czechia). This grant will enable the US research group at NYU to collaborate with members of the EC RTN. The NYU group is focused on analytic and model calculations in magnetoelectronics, whereas the EC expertise is in ab initio calculations of electronic structure and magnetic and transport properties of solids. The RTN is using ab initio methods to assess the importance on the transport properties of magnetic multilayers and tunnel junctions of features identified from calculations based on model Hamiltonians. Specifically, for metallic multilayers the role of spin flip scattering by impurities on magnetoresistance (MR) will be studied, as well as resistivity and MR for currents perpendicular to the layers and the role of anisotropy compared to giant MR in magnetic multilayers. For magnetic tunnel junctions the in-plane lattice constant and the interlayer distance at interfaces will be relaxed to determine the effects on tunneling. In addition, the surface band structures at electrode/barrier interfaces, determined by full potential methods, will be incorporated into the calculations of junction MR. %%%This project is co-funded by the Division of Materials Research and the Office of Multidisciplinary Activities, both within the Directorate for Mathematical and Physical Sciences, and the International Division as a cooperative activity in materials sciences between the National Science foundation and the European Commission (NSF solicitation 01-105). The project involves the EC Research Training Network (RTN) on Computational Magnetoelectronics whose lead institutions include Daresbury Laboratory (United Kingdom), FZ Juelich (Germany), MSP-MPI Halle (Germany), CNRS Orsay (France), TU Vienna (Austria), University of Twente (Netherlands), Uppsala University (Sweden), Academy of Sciences - Budapest (Hungary) and Institute of Physics of Materials Brno (Czechia). This grant will enable the US research group at NYU to collaborate with members of the EC RTN. The NYU group is focused on analytic and model calculations in magnetoelectronics, whereas the EC expertise is in ab initio calculations of electronic structure and magnetic and transport properties of solids. ***
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