Tunnel magnetoresistance in GaMnAs: going beyond Jullière formula

The relation between tunnel magnetoresistance (TMR) and spin polarization is explored for GaMnAs∕GaAlAs∕GaMnAs structures where the carriers experience strong spin–orbit interactions. TMR is calculated using the Landauer approach. The materials are described in the 6 band k⋅p model which includes spin–orbit interaction. Ferromagnetism is described in the virtual crystal mean field approximations. Our results indicate that TMR is a function of spin polarization and barrier thickness. As a result of the stong spin–orbit interactions, TMR also depends on the the angle between current flow direction and the electrode magnetization. These results compromise the validity of Julliere formula.

Intrinsic spin noise in MgO magnetic tunnel junctions

We consider two intrinsic sources of noise in ultra-sensitive magnetic field sensors based on MgO magnetic tunnel junctions, coming both from 25 Mg nuclear spins (I = 5/2, 10% natural abundance) and S = 1 Mg-vacancies. While nuclear spins induce noise peaked in the MHz frequency range, the vacancies noise peaks in the GHz range. We find that the nuclear noise in submicron devices has a similar magnitude than the 1/f noise, while the vacancy-induced noise dominates in the GHz range. Interestingly, the noise spectrum under a finite magnetic field gradient may provide spatial information about the spins in the MgO layer.

Thames Tunnel, London, England, 1827 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan of the roads and main objects on the eastern part of London : as connected with the tunnel excavating under the Thames from Rotherhithe to Wapping, projected by M.I. Brunel, C.E. F.R.S., 1827. It was published by H. Teape & Son in 1827. Scale [ca. 1:48,000]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the British National Grid coordinate system (British National Grid, Airy Spheroid OSGB (1936) Datum). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, docks, drainage, canals, selected buildings, and more. Includes text, advertisement, and engravings: View of the Thames River -- View of the Interior of the Thames Tunnel -- View of the iron shield compartments for workers. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Road map of Massachusetts, 1922 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Road map of Massachusetts, prepared by General Drafting Co., Inc. ; published and presented by the First National Bank of Boston, May 1922. Scale [ca. 1:285,000]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows features such as roads by condition (first class trunk line highways, trunk line highways, good or fairly good roads, poor roads, very poor roads), distances in miles between places, drainage, county boundaries and more. Relief is shown by hachures. Includes insets: Important routes of lower New England -- Cape Cod -- [Boston and Cambridge]. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.

Stress Inversion Using LiDAR Tunnel Deformation Measurements

Far-field stresses are those present in a volume of rock prior to excavations being created. Estimates of the orientation and magnitude of far-field stresses, often used in mine design, are generally obtained by single-point measurements of stress, or large-scale, regional trends. Point measurements can be a poor representation of far-field stresses as a result of excavation-induced stresses and geological structures. For these reasons, far-field stress estimates can be associated with high levels of uncertainty. The purpose of this thesis is to investigate the practical feasibility, applications, and limitations of calibrating far-field stress estimates through tunnel deformation measurements captured using LiDAR imaging. A method that estimates the orientation and magnitude of excavation-induced principal stress changes through back-analysis of deformation measurements from LiDAR imaged tunnels was developed and tested using synthetic data. If excavation-induced stress change orientations and magnitudes can be accurately estimated, they can be used in the calibration of far-field stress input to numerical models. LiDAR point clouds have been proven to have a number of underground applications, thus it is desired to explore their use in numerical model calibration. The back-analysis method is founded on the superposition of stresses and requires a two-dimensional numerical model of the deforming tunnel. Principal stress changes of known orientation and magnitude are applied to the model to create calibration curves. Estimation can then be performed by minimizing squared differences between the measured tunnel and sets of calibration curve deformations. In addition to the back-analysis estimation method, a procedure consisting of previously existing techniques to measure tunnel deformation using LiDAR imaging was documented. Under ideal conditions, the back-analysis method estimated principal stress change orientations within ±5° and magnitudes within ±2 MPa. Results were comparable for four different tunnel profile shapes. Preliminary testing using plastic deformation, a rough tunnel profile, and profile occlusions suggests that the method can work under more realistic conditions. The results from this thesis set the groundwork for the continued development of a new, inexpensive, and efficient far-field stress estimate calibration method.

From supervision to resolution: next steps on the road to European Banking Union. Bruegel Policy Contribution 2013/04, February 2012

The European Council has outlined the creation of a Single Resolution Mechanism (SRM), complementing the Single Supervisory Mechanism. The thinking on the SRM’s legal basis, design and mission is still preliminary and depends on other major initiatives, including the European Stability Mechanism’s involvement in bank recapitalisations and the Bank Recovery and Resolution (BRR) Directive. The SRM should also not be seen as the final step creating Europe’s future banking union. Both the BRR Directive and the SRM should be designed to enable the substantial financial participation of existing creditors in future bank restructurings. To be effective, the SRM should empower a central body. However, in the absence of Treaty change and of further fiscal integration, SRM decisions will need to be implemented through national resolution regimes. The central body of the SRM should be either the European Commission, or a new authority. This legislative effort should not be taken as an excuse to delay decisive action on the management and resolution of the current European banking fragility, which imposes a major drag on Europe’s growth and employment.