Northeastern Italy is an area characterized by an active tectonic regime with a convergence rate of about 2 mm/yr due to the NNW motion of the Adria plate and its counterclockwise rotation with respect to Eurasia.  The N-S shortening is accommodated by the Southeastern Alps and the External Dinarides, mainly dominated by active thrust-and-fold systems and strike-slip faults (D’Agostino et al., 2005; Serpelloni et al., 2016). In the present study, we exploited the potential of geodetic data to extract information about the surface deformation in response to active tectonics.   We used a Multi-Temporal InSAR approach called Stanford Method for Persistent Scatterers (StaMPS). The technique, based on the detection of coherent and temporally stable pixels in a stack of single-master differential interferograms, allows obtaining mean ground velocity maps. We used Sentinel-1 SAR images acquired in ascending and descending orbits, spanning 2015-2019 temporal interval, as inputs for SNAP2StaMPS and StaMPS software (Foumelis et al., 2018; Hooper et al., 2012). After the PSI processing, we applied spatial-temporal filters and we performed some post-processing operations to obtain reliable PS candidates. We also performed a calibration by using Adria-fixed GNSS velocities to remove orbital ramps and residual atmospheric contributions. Finally, we obtained Line-Of-Sight calibrated mean ground velocity maps for ascending and descending tracks and, after the decomposition, East-West and vertical velocity maps. According to the results, we identify some deformation patterns, potentially related to active tectonics. Towards the Alps, we notice a positive vertical signal reaching about 2 mm/yr. In contrast, the East-West map shows deformation patterns with 1-2 mm/yr rate on the northeastern sector and on the Friulian pedemountain and plain areas. The analysis and the modeling of these signals will clarify the relationship with active tectonics in the study area.

Displacement rate measurement in Northeastern Italy by using PS-InSAR and GNSS data

NdFeB-based magnets are key components widely used in the automotive industry, electronics, energy conversion systems and acoustic products. Owing to the unstable supply and high cost of less abundant rare earths (e.g. Dy and to some extent Nd), it is important to reduce cost while maintaining performance. In order to address this problem, the partial replacement of Nd with La and Ce, which are cheaper and more abundant than Nd, is actively being pursued. In this work, a triple target geometry is used for a high throughput study of NdLaCeFeB films. By using movable target shields, a set of films with different composition gradients have been deposited and post-annealed under different conditions. 2D composition maps of as-deposited films were made using EDX (Energy Dispersive X-Ray) analysis in an SEM. High throughput magnetic characterisation was carried out using an in-house developed high field scanning MOKE system operated at room temperature[1]. High throughput XRD measurements were also made to investigate changes of phase and texture. More detailed magnetic characterisation of certain sample parts was carried out using SQUID-VSM. Also, machine learning based data analysis enabled us to show the correlation among compositions, microstructures and magnetic properties. In this work we demonstrate the potential offered by the combinational high throughput approach to the development of NdLaCeFeB films and reveal the influence of La and Ce content on the magnetic and structural properties of such films.

A High Throughput Study of compositionally graded NdLaCeFeB Films

In This Lesson: Part 2 of 2, Case Study III: A Combined MD-RS Approach for Designing Ice-metal Interfaces by Nish Sonwalkar

Molecular Dynamics MOOC 12.2.4b. Case Study: A Combined MD-RS Approach for Designing Ice-metal Interfaces

Molecular Dynamics MOOC 7.2.5. MD Simulation Output

In This Lesson: Part 3 of 3, Nurit Haspel: Conformational Exploration of Two Peptides and Their Hybrid Polymer Conjugates

Molecular Dynamics MOOC 12.2.2c: Conformational Exploration of Two Peptides and Their Hybrid Polymer Conjugates

In This Lesson: Part 2 of 2, Review of Two Case Studies and Preview of Two More

Molecular Dynamics MOOC 12.2.3b. Review of Two Case Studies and Preview of Two More x

In This Lesson: Velocity Autocorrelation Function

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Displacement rate measurement in Northeastern Italy by using PS-InSAR and GNSS data

A High Throughput Study of compositionally graded NdLaCeFeB Films

Molecular Dynamics MOOC 12.2.4b. Case Study: A Combined MD-RS Approach for Designing Ice-metal Interfaces

Molecular Dynamics MOOC 7.2.5. MD Simulation Output

Molecular Dynamics MOOC 12.2.2c: Conformational Exploration of Two Peptides and Their Hybrid Polymer Conjugates

Molecular Dynamics MOOC 12.2.3b. Review of Two Case Studies and Preview of Two More x

Molecular Dynamics MOOC 8.2.1. Introduction and Calculation of Vibrational Properties

Molecular Dynamics MOOC 8.2.2. Velocity Correlation Function

Molecular Dynamics MOOC 8.1.3. Pressure, VMDL Simulation

Molecular Dynamics MOOC 6.1.2. Dynamics of Motion

Molecular Dynamics MOOC 8.1.2. Thermodynamic Properties

Molecular Dynamics MOOC 7.1.4. Summary

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