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This paper presents an imaging radar system for structural health monitoring (SHM) of wind turbine blades. The imaging radar system developed here is based on two frequency modulated continuous wave (FMCW) radar sensors with a high output power of 30 dBm. They have been developed for the frequency bands of 24,05 GHz-24,25 GHz and 33.4 GHz-36.0 GHz, respectively. Following the successful proof of damage detection and localization in laboratory conditions, we present here the installation of the sensor system at the tower of a 2 MW wind energy plant at 95 m above ground. The realization of the SHM-system will be introduced including the sensor system, the data acquisition framework and the signal processing procedures. We have achieved an imaging of the rotor blades using inverse synthetic aperture radar techniques under changing environmental and operational condition. On top of that, it was demonstrated that the front wall and back wall radar echo can be extracted from the measured signals demonstrating the full penetration of wind turbine blades during operation.
Far outside the surface of slabs, the exact exchange (EXX) potential vx falls off as −1/z , if z denotes the direction perpendicular to the surface and the slab is localized around z=0 . Similarly, the EXX energy density ex behaves as −n/(2z) , where n is the electron density. Here, an alternative proof of these relations is given, in which the Coulomb singularity in the EXX energy is treated in a particularly careful fashion. This new approach allows the derivation of the next-to-leading order contributions to the asymptotic vx and ex . It turns out that in both cases, the corrections are proportional to 1/z2 in general.
An empirical study of the per capita yield of science Nobel prizes : is the US era coming to an end?
(2018)
We point out that the Nobel prize production of the USA, the UK, Germany and France has been in numbers that are large enough to allow for a reliable analysis of the long-term historical developments. Nobel prizes are often split, such that up to three awardees receive a corresponding fractional prize. The historical trends for the fractional number of Nobelists per population are surprisingly robust, indicating in particular that the maximum Nobel productivity peaked in the 1970s for the USA and around 1900 for both France and Germany. The yearly success rates of these three countries are to date of the order of 0.2–0.3 physics, chemistry and medicine laureates per 100 million inhabitants, with the US value being a factor of 2.4 down from the maximum attained in the 1970s. The UK in contrast managed to retain during most of the last century a rate of 0.9–1.0 science Nobel prizes per year and per 100 million inhabitants. For the USA, one finds that the entire history of science Noble prizes is described on a per capita basis to an astonishing accuracy by a single large productivity boost decaying at a continuously accelerating rate since its peak in 1972.
By the fabrication of periodically arranged nanomagnetic systems it is possible to engineer novel physical properties by realizing artificial lattice geometries that are not accessible via natural crystallization or chemical synthesis. This has been accomplished with great success in two dimensions in the fields of artificial spin ice and magnetic logic devices, to name just two. Although first proposals have been made to advance into three dimensions (3D), established nanofabrication pathways based on electron beam lithography have not been adapted to obtain free-form 3D nanostructures. Here we demonstrate the direct-write fabrication of freestanding ferromagnetic 3D nano-architectures. By employing micro-Hall sensing, we have determined the magnetic stray field generated by our free-form structures in an externally applied magnetic field and we have performed micromagnetic and macro-spin simulations to deduce the spatial magnetization profiles in the structures and analyze their switching behavior. Furthermore we show that the magnetic 3D elements can be combined with other 3D elements of different chemical composition and intrinsic material properties.
Fluctuation spectroscopy measurements of quasi-two-dimensional organic charge-transfer salts (BEDT-TTF) 2 X are reviewed. In the past decade, the method has served as a new approach for studying the low-frequency dynamics of strongly correlated charge carriers in these materials. We review some basic aspects of electronic fluctuations in solids, and give an overview of selected problems where the analysis of 1/f -type fluctuations and the corresponding slow dynamics provide a better understanding of the underlying physics. These examples are related to (1) an inhomogeneous current distribution due to phase separation and/or a percolative transition; (2) slow dynamics due to a glassy freezing either of structural degrees of freedom coupling to the electronic properties or (3) of the electrons themselves, e.g., when residing on a highly-frustrated crystal lattice, where slow and heterogeneous dynamics are key experimental properties for the vitrification process of a supercooled charge-liquid. Another example is (4), the near divergence and critical slowing down of charge carrier fluctuations at the finite-temperature critical endpoint of the Mott metal-insulator transition. Here also indications for a glassy freezing and temporal and spatial correlated dynamics are found. Mapping out the region of ergodicity breaking and understanding the influence of disorder on the temporal and spatial correlated fluctuations will be an important realm of future studies, as well as the fluctuation properties deep in the Mott or charge-ordered insulating states providing a connection to relaxor or ordered ferroelectric states studied by dielectric spectroscopy.
Temperature- and field-dependent 1H-, 19F-, and 79,81Br-NMR measurements together with zero - field 79,81Br-NQR measurements on polycrystalline samples of barlowite, Cu4(OH)6FBr are conducted to study the magnetism and possible structural distortions on a microscopic level. The temperature dependence of the 79,81Br-NMR spin-lattice relaxation rates 1/T1 indicate a phase transition at TN ≃ 15 K which is of magnetic origin, but with an unusually weak slowing down of fluctuations below TN. Moreover, 1/T1T scales linear with the bulk susceptibility which indicates persisting spin fluctuations down to 2 K. Quadupolare resonance (NQR) studies reveal a pair of zero-field NQR- lines associated with the two isotopes of Br with the nuclear spins of I = 3/2. Quadrupole coupling constants of vQ ≃ 28.5 MHz and 24.7 MHz for 79Br- and 81Br-nuclei are determined from Br-NMR and the asymmetry parameter of the electric field gradient was estimated to η ≃ 0.2. The Br-NQR lines are consistent with our findings from Br-NMR and they are relatively broad, even above TN. This broadening and the relative large η value suggests a symmetry reduction at the Br- site reflecting the presence of a local distortion in the lattice. Our density-functional calculations show that the displacements of Cu2 atoms located between the kagome planes do not account for this relatively large η. On the other hand, full structural relaxation, including the deformation of kagome planes, leads to a better agreement with the experiment.
This thesis is concerned with systematic investigations of electronic noise in novel condensed matter systems. Although fluctuations are frequently considered a nuisance, that is, a disturbance limiting the accuracy of scientific measurements, in many cases they can reveal fundamental information about the inherent system dynamics. During the past decades, the study of electronic fluctuations has evolved into an indispensable tool in condensed matter physics.
The focus of the present work lies both in a further development of the fluctuation spectroscopy technique and in the study of materials of current interest. In particular, a comprehensive study of the charge carrier dynamics in the archetypal diluted magnetic semiconductors (Ga,Mn)As and (Ga,Mn)P was performed. In spite of extensive research work carried out during the last years, there still exists no theoretical consensus on the precise mechanism of ferromagnetic order and the electronic structure in these materials. Moreover, disorder and correlation effects complicate the understanding of these compounds.
Fluctuation spectroscopy experiments presented in this work provide strong evidence that a percolation transition is observed in samples with localized charge carriers, since the normalized resistance noise magnitude displays a significant enhancement around the Curie temperature. In addition, this quantity exhibits a power law scaling behavior as a function of the resistance, which is in good agreement with theoretical models of percolating systems.
By contrast, it was found that the resistance noise in metallic samples is mainly dominated by the physics of defects such as manganese interstitials and arsenic antisites. Furthermore, first noise studies were carried out on hafnia- and yttria-based resistive random access memories. In these memristor devices, the rupture and re-formation of oxygen deficient conducting filaments caused by the electric field and Joule heating driven motion of mobile anions lead to an unusual resistance switching behavior. For the first time, comparative noise measurements on oxygen deficient and stoichiometric hafnium oxide devices, as well as on novel yttrium oxide based devices were performed in this work. Finally, new strategies for noise measurements of highly insulating and extremely low-resistive samples were developed and realized. In detail, an experimental setup for the measurements of dielectric polarization fluctuations in insulating systems was designed and successfully tested. Here, the polarization noise of a sample is measured as current or voltage fluctuations produced within a capacitance cell. The study of dielectric polarization noise allows for conclusions to be drawn regarding equilibrium structural dynamics in insulators such as relaxor ferroelectrics. On the other hand, as successfully demonstrated for a heavy-fermion compound, focused ion beam etching enables to introduce a meander-shaped geometry in single crystal platelets, in order to strongly enhance the sample resistance and thus make resistance noise measurements possible. First results indicate a connection of the noise properties with the Kondo effect in the investigated material.
Crystal growth and characterization of cerium- and ytterbium-based quantum critical materials
(2018)
In der Festkörperphysik werden heutzutage Themen wie Supraleitung, Magnetismus und Quantenkritikalität sowohl von experimenteller als auch von theoretischer Seite stark untersucht. Quantenkritikalität und Quantenphasenübergänge können in Systemen erforscht werden, für welche ein Kontroll Parameter existiert, durch den z.B. eine magnetische Ordnung soweit unterdrückt wird, bis der Phasenübergang bei Null Kelvin, bei einem quantenkritischen Punkt (QCP), stattfindet. Vorzugsweise wird quantenkritisches Verhalten an Einkristallen untersucht, da diese in sehr reiner Qualität gezüchtet werden können und da deren gemessenen physikalischen Eigenschaften ausschließlich intrinsisch sind und nicht durch Verunreinigungseffekte überlagert werden. Der Schwerpunkt dieser Arbeit lag auf der Züchtung von Einkristallen und der Charakterisierung von Materialien, die quantenkritische Phänomene aufweisen. Als Ausgangsstoffe dienten dabei Elemente höchstmöglicher Reinheit. Es wurden die Serie YbNi4(P1-xAsx)2 mit einem ferromagnetischen QCP bei x=0,1, die Verbindung YbRh2Si2 mit einem feldinduzierten QCP bei Bcrit = 60mT und die Serie Ce(Ru1-xFex)PO mit einem QCP bei x = 0,86 untersucht. Für alle Verbindungen wurde das Züchtungsverfahren entwickelt, dann wurden Einkristalle gezüchtet und charakterisiert. Die Züchtung wurde zum einen mittels der Bridgman-Methode, zum anderen mit der Czochralski Methode durchgeführt. Neben struktureller und chemischer Charakterisierung der Einkristalle mittels Röntgen-Pulverdiffraktometrie, Laue-Methode und Energie-dispersiver Röntgen-Spektroskopie, wurden auch deren spezifische Wärme, elektrischer Widerstand und Magnetisierung im Temperaturbereich 1,8 – 300 K untersucht. Im weiteren Verlauf wurden die Kristalle in verschiedenen Kooperationen untersucht und bis in den Tieftemperatur- Bereich (20 mK), bei YbRh2Si2 bis in den Submillikelvin-Bereich, charakterisiert. Ausserdem wurden im Rahmen dieser Dissertation Einkristalle weiterer antiferromagnetischer Verbindungen SmRh2Si2, GdRh2Si2, GdIr2Si2, HoRh2Si2 und HoIr2Si2 gezüchtet. Bei diesen Verbindungen stand die Untersuchung elektronischer Oberflächenzustände mittels winkelaufgelöster Photoemissionsspektroskopie im Vordergrund.
Spontaneous brain activity is characterized in part by a balanced asynchronous chaotic state. Cortical recordings show that excitatory (E) and inhibitory (I) drivings in the E-I balanced state are substantially larger than the overall input. We show that such a state arises naturally in fully adapting networks which are deterministic, autonomously active and not subject to stochastic external or internal drivings. Temporary imbalances between excitatory and inhibitory inputs lead to large but short-lived activity bursts that stabilize irregular dynamics. We simulate autonomous networks of rate-encoding neurons for which all synaptic weights are plastic and subject to a Hebbian plasticity rule, the flux rule, that can be derived from the stationarity principle of statistical learning. Moreover, the average firing rate is regulated individually via a standard homeostatic adaption of the bias of each neuron’s input-output non-linear function. Additionally, networks with and without short-term plasticity are considered. E-I balance may arise only when the mean excitatory and inhibitory weights are themselves balanced, modulo the overall activity level. We show that synaptic weight balance, which has been considered hitherto as given, naturally arises in autonomous neural networks when the here considered self-limiting Hebbian synaptic plasticity rule is continuously active.
Recent experiments have demonstrated that visual cortex engages in spatio-temporal sequence learning and prediction. The cellular basis of this learning remains unclear, however. Here we present a spiking neural network model that explains a recent study on sequence learning in the primary visual cortex of rats. The model posits that the sequence learning and prediction abilities of cortical circuits result from the interaction of spike-timing dependent plasticity (STDP) and homeostatic plasticity mechanisms. It also reproduces changes in stimulus-evoked multi-unit activity during learning. Furthermore, it makes precise predictions regarding how training shapes network connectivity to establish its prediction ability. Finally, it predicts that the adapted connectivity gives rise to systematic changes in spontaneous network activity. Taken together, our model establishes a new conceptual bridge between the structure and function of cortical circuits in the context of sequence learning and prediction.