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Terahertz (THz) technology is an emerging field that considers the radiation between microwave and far-infrared regions where the electronic and photonic technologies merge. THz generation and THz sensing technologies should fill the gap between photonics and electronics which is defined as a region where THz generation power and THz sensing capabilities are at a low technology readiness level (TRL). As one of the options for THz detection technology, field-effect transistors with integrated antennae were suggested to be used as THz detectors in the 1990s by M. Dyakonov and M. Shur from where the development of field-effect transistor-based detector began. In this work, various FET technologies are presented, such as CMOS, AlGaN/GaN, and graphene-based material systems and their further sensitivity enhancement in order to reach the performance of well-developed Schottky diode-based THz sensing technology. Here presented FET-based detectors were explored in a wide frequency range from 0.1 THz up to 5 THz in narrowband and broadband configurations.
For proper implementation of THz detectors, the well-defined characterization is of high importance. Therefore, this work overviews the characterization methods, establishes various definitions of detector parameters, and summarizes the state-of-the-art THz detectors. The electrical, optical, and cryogenic characterization techniques are also presented here, as well as the best results obtained by the development of the characterization methods, namely graphene FET stabilization, low-power THz source characterization for detector calibration, and technology development for cryogenic detection.
Following the discussion about the detector characterization, a wide range of THz applications, which were tested during the last four years of Ph.D. and conducted under the ITN CELTA project from HORIZON2020 program, are presented in this work. The studies began with spectroscopy applications and imaging and later developed towards hyperspectral imaging and even passive imaging of human body THz radiation. As various options for THz applications, single-pixel detectors as well as multi-pixel arrays are also covered in this work.
The conducted research shows that FET-based detectors can be used for spectroscopy applications or be easily adapted for the relevant frequency range. State-of-the-art detectors considered in this work reach the resonant performance below 20 pW/√Hz at 0.3 THz and 0.5 THz, as well as 404 pW/√Hz cross-sectional NEP at 4.75 THz. The broadband detectors show NEP as low as 25 pW/√Hz at around 0.6 THz for the best AlGaN/GaN design and 25 pW/√Hz around 1 THz for the best CMOS design. As one of the most promising applications, metamaterial characterization was tested using the most sensitive devices. Furthermore, one of the single-pixel devices and a multi-pixel array were tested as an engineering solution for a radio astronomy system called GREAT in a stratosphere observatory named SOFIA. The exploration of the autocorrelation technique using FET-based devices shows the opportunity to employ such detectors for direct detection of THz pulses without an interferometric measurement setup.
This work also considers imaging applications, which include near-field and far-field visualization solutions. A considerable milestone for the theory of FET technology was achieved when scanning near-field microscopy led to the visualization of plasma (or carrier density) waves in a graphene FET channel. Whereas another important milestone for the THz technology was achieved when a 3D scan of a mobile phone was performed under the far-field imaging mode. Even though the imaging was done through the phone’s plastic cover, the image displayed high accuracy and good feature recognition of the smartphone, inching the FET-based detector technology ever so close to practical security applications. In parallel, the multi-pixel array testing was carried out on 6x7 pixel arrays that have been implemented in configurable-size aperture and imaging configurations. The configurable aperture size allowed the easier detector focusing procedure and a better fit for the beam size of the incident radiation. The imaging has been tested on various THz sources and compared to the TeraSense 16x16 pixel array. The experimental results show the big advantage of the developed multi-pixel array against the used commercial technology.
Furthermore, two ultra-low-power applications have been successfully tested. The application on hyper-frequency THz imaging tested in the specially developed dual frequency comb and our detector system for 300 GHz radiation with 9 spectral lines led to outstanding imaging results on various materials. The passive imaging of human body radiation was conducted using the most sensitive broadband CMOS detector with a log-spiral antenna working in the 0.1 – 1.5 THz range and reaching the optical NEP of 42 pW/√Hz. The NETD of this device reaches 2.1 K and overcomes the performance limit of passive room-temperature imaging of the human body radiation, which was less than 10 K above the room temperature. This experiment opened a completely new field that was explored before only by the multiplier chain-based or thermal detectors.
...
One of the most challenging problems in solid state systems is the microscopic analysis of electronic correlations. A paramount minimal model that encodes correlation effects is the Hubbard Hamiltonian, which—regardless of its simplicity—is exactly solvable only in a few limiting cases and approximate many-body methods are required for its solution. In this review, an overview on the non-perturbative two-particle self-consistent method (TPSC), which was originally introduced to describe the electronic properties of the single-band Hubbard model, is presented. A detailed derivation of the multi-orbital generalization of TPSC is introduced here and particular features of the method on exemplary interacting models in comparison to dynamical mean-field theory results are discussed.
The maximum recoverable strain of most crystalline solids is less than 1% because plastic deformation or fracture usually occurs at a small strain. In this work, we show that a SrNi2P2 micropillar exhibits pseudoelasticity with a large maximum recoverable strain of ~14% under uniaxial compression via unique reversible structural transformation, double lattice collapse-expansion that is repeatable under cyclic loading. Its high yield strength (~3.8±0.5 GPa) and large maximum recoverable strain bring out the ultrahigh modulus of resilience (~146±19MJ/m3) a few orders of magnitude higher than that of most engineering materials. The double lattice collapse-expansion mechanism shows stress-strain behaviors similar with that of conventional shape memory alloys, such as hysteresis and thermo-mechanical actuation, even though the structural changes involved are completely different. Our work suggests that the discovery of a new class of high performance ThCr2Si2-structured materials will open new research opportunities in the field of pseudoelasticity
In this work, the phase diagram of the 2+1-dimensional Gross-Neveu model is investigated with baryon chemical potential as well as chiral chemical potential in the mean-field approximation. We study the theory using two lattice discretizations, which are both based on naive fermions. An inhomogeneous chiral phase is observed only for one of the two discretizations. Our results suggest that this phase disappears in the continuum limit.
Classical light microscopy is one of the main tools for science to study small things. Microscopes and their technology and optics have been developed and improved over centuries, however their resolution is ultimately restricted physically by the diffraction of light based on its wave nature described by Maxwell’s equations. Hence, the nanoworld – often characterized by sub-100-nm structural sizes – is not accessible with classical far-field optics (apart from special x-ray laser concepts) since its lateral resolution scales with the wavelength.
It was not until the 20th century that various technologies emerged to circumvent the diffraction limit, including so-called near-field microscopy. Although conceptually based on Maxwell’s long known equations, it took a long time for the scientific community to recognize its powerful opportunities and the first embodiments of near-field microscopes were developed. One representative of them is the scattering-type Scanning Near-field Optical Microscope (s-SNOM). It is a Scanning Probe Microscope (SPM) that enables imaging and spectroscopy at visible light frequencies down to even radio waves with a sub-100-nm resolution regardless of the wavelength used. This work also reflects this wide spectral range as it contains applications from near-infrared light down to deep THz/GHz radiation.
This thesis is subdivided into two parts. First, new experimental capabilities for the s-SNOM are demonstrated and evaluated in a more technical manner. Second, among other things, these capabilities are used to study various transport phenomena in solids, as already indicated in the title.
On the technical side, preliminary studies on the suitability of the qPlus sensor – a novel scanning probe technology – for near-field microscopy are presented.
The scanning head incorporating the qPlus sensor–named TRIBUS – is originally intended and built for ultra-high vacuum, low temperature, and high resolution applications. These are desirable environments and properties for sensitive nearfield measurements as well. However, since its design was not planned for near-field measurements, several special technical and optical aspects have to be taken into account, among others the scanning tip design and a spring suspended measurement head.
In addition, in this thesis field-effect transistors are used as THz detectors in an s-SNOM for the first time. Although THz s-SNOM is already an emerging technology, it still suffers from the requirements of sophisticated and specialized infrastructure on both the detector and laser side. Field-effect transistors offer an alternative that is flexible, cost-efficient, room-temperature operating, and easy to handle. Here, their suitability for s-SNOM measurements, which in general require very sensitive and fast detectors, is evaluated.
In the scientific part of this thesis, electromagnetic surface waves on silver nanowires and the conductivity/charge carrier density in silicon are investigated. Both are completely different concepts of transport phenomena, but this already shows the general versatility of the s-SNOM as it can enter both fields. Silver nanowires are analysed by means of near-infrared radiation. Their plasmonic behaviour in this spectral region is studied complementing other simulations and studies in literature performed on them using for example far-field optics.
Furthermore, the surface wave imaging ability of the s-SNOM in the near-infrared regime is thoroughly investigated in this thesis. Mapping surface waves in the mid-infrared regime is widespread in the community, however for much smaller wavelengths there are several important aspects to be considered additionally, such as the smaller focal spot size.
After that, doped and photo-excited silicon substrates are investigated. As the characteristic frequencies of charge carriers in semiconductors – described by the plasma frequency and the Drude model – are within the THz range, the THz s-SNOM is very well suited to probe their behaviour and to reveal contrasts, which has already been shown qualitatively by numerous literature reports. Here, the photo-excitation enables to set and tune the charge carrier density continuously.
Furthermore, the analysis of all silicon samples focuses on a quantitative extraction of the charge carrier densities and doping levels ...
High-energy astrophysics plays an increasingly important role in the understanding of our universe. On one hand, this is due to ground-breaking observations, like the gravitational-wave detections of the LIGO and Virgo network or the black-hole shadow observations of the EHT collaboration. On the other hand, the field of numerical relativity has reached a level of sophistication that allows for realistic simulations that include all four fundamental forces of nature. A prime example of how observations and theory complement each other can be seen in the studies following GW170817, the first detection of gravitational waves from a binary neutron-star merger. The same detection is also the chronological starting point of this Thesis. The plethora of information and constraints on nuclear physics derived from GW170817 in conjunction with theoretical computations will be presented in the first part of this Thesis. The second part goes beyond this detection and prepares for future observations when also the high-frequency postmerger signal will become detectable. Specifically, signatures of a quark-hadron phase transition are discussed and the specific case of a delayed phase transition is analyzed in detail. Finally, the third part of this Thesis focuses on the inclusion of radiative transport in numerical astrophysics. In the context of binary neutron-star mergers, radiation in the form of neutrinos is crucial for realistic long-term simulations. Two methods are introduced for treating radiation: the approximate state-of-the-art two-moment method (M1) and the recently developed radiative Lattice-Boltzmann method. The latter promises
to be more accurate than M1 at a comparable computational cost. Given that most methods for radiative transport or either inaccurate or unfeasible, the derivation of this new method represents a novel and possibly paradigm-changing contribution to an accurate inclusion of radiation in numerical astrophysics.
We derive the collision term in the Boltzmann equation using the equation of motion for the Wigner function of massive spin-1/2 particles. To next-to-lowest order in h, it contains a nonlocal contribution, which is responsible for the conversion of orbital into spin angular momentum. In a proper choice of pseudogauge, the antisymmetric part of the energy-momentum tensor arises solely from this nonlocal contribution. We show that the collision term vanishes in global equilibrium and that the spin potential is, then, equal to the thermal vorticity. In the nonrelativistic limit, the equations of motion for the energy-momentum and spin tensors reduce to the well-known form for hydrodynamics for micropolar fluids.
A deep convolutional neural network (CNN) is developed to study symmetry energy (Esym(ρ)) effects by learning the mapping between the symmetry energy and the two-dimensional (transverse momentum and rapidity) distributions of protons and neutrons in heavy-ion collisions. Supervised training is performed with labeled data-set from the ultrarelativistic quantum molecular dynamics (UrQMD) model simulation. It is found that, by using proton spectra on event-by-event basis as input, the accuracy for classifying the soft and stiff Esym(ρ) is about 60% due to large event-by-event fluctuations, while by setting event-summed proton spectra as input, the classification accuracy increases to 98%. The accuracies for 5-label (5 different Esym(ρ)) classification task are about 58% and 72% by using proton and neutron spectra, respectively. For the regression task, the mean absolute errors (MAE) which measure the average magnitude of the absolute differences between the predicted and actual L (the slope parameter of Esym(ρ)) are about 20.4 and 14.8 MeV by using proton and neutron spectra, respectively. Fingerprints of the density-dependent nuclear symmetry energy on the transverse momentum and rapidity distributions of protons and neutrons can be identified by convolutional neural network algorithm.
Die vorliegende Arbeit präsentiert Forschungsarbeiten basierend auf nanoskopischen Oberflächenmessungen an plasmonischen Metaoberflächen und zweidimensionalen Materialien, insbesondere dem halbleitenden Übergangsmetal-Dichalcogenid (TMDC) WS_2. Die Thesis ist in sieben Kapitel untergegliedert. Die Einleitung vermittelt einen Überblick über die treibenden Kräfte hinter der Forschung im Bereich der Nanophotonik an zweidimensionalen Materialsystemen. Die Untersuchung der Licht-Materie-Wechselwirkung an dünnen Materialgrenzflächen zieht sich als roter Faden durch die gesamte Arbeit.
Das zweite Kapitel beschreibt den experimentellen Aufbau, der für die Durchführung der nanoskopischen Messungen in dieser Arbeit implementiert wurde. Es werden theoretische Grundlagen, das Messprinzip und die Implementierung des optischen Rasternahfeldmikroskops (s-SNOM) skizziert. Außerdem wird ein Strom-Spannungs-Rasterkraftmikroskop (c-AFM) im Kontaktmodus genutzt, um elektrische Ströme auf mikroskopischen zweidimensionalen TMDC-Terrassen zu messen. In den darauffolgenden vier Kapiteln werden die Beiträge dieser Arbeit zur Untersuchung der Licht-Materie-Wechselwirkung auf der Nanoskala aus verschiedenen Perspektiven vorgestellt. Jedes Kapitel enthält eine kurze Einleitung, einen Theorieteil, Messdaten oder Simulationsergebnisse sowie eine Analyse; vervollständigt durch einen Schlussteil.
Die zentrale Arbeit an einer metallischen Metaoberfläche aus elliptischen Goldscheiben wird in Kapitel 3 vorgestellt. Der zugehörige Theorieteil führt in das Konzept von Oberflächen-Plasmon-Polaritonen (SPP) ein, das für den Forschungsbereich der Plasmonik im Allgemeinen wesentlich ist. Verschiedene Methoden zur Berechnung der Dispersionsrelation dieser Oberflächenmoden an ein- und mehrschichtigen Grenzflächen werden auf die untersuchte Metaoberflächenprobe angewendet. Das Modell sagt drei verschiedene Moden voraus, die sich an der Grenzfläche ausbreiten. Eine teil-gebundene ins Substrat abstrahlende Oberflächenmode sowie zwei vergrabene stark gebundene anisotrope Moden. Eine auf der Probe platzierte Nanokugel aus Silizium wird als radiale Anregungsquelle verwendet.
Der Vergleich mit s-SNOM-Nahfeldbildern zeigt, dass nur die schwach gebundene geführte Modenresonanz ausreichend angeregt wurde, um durch s-SNOM-Bildgebung nachgewiesen werden zu können. Die schwache Oberflächenbindung erklärt die scheinbar isotrope Ausbreitung auf der anisotropen Oberfläche. Die Beobachtung der verbleibenden stark eingegrenzten anisotropen vergrabenen Moden würde eine verbesserte tiefenempfindliche Auflösung des Systems erfordern, die im Prinzip für Schichtdicken von 20 nm möglich sein sollte. Darüber hinaus wirft die Beobachtung die Frage auf, ob die durch Impuls- und Modenvolumenanpassung der Nanokugel gegebene Anregungseffizienz einen ausreichenden Anregungsquerschnitt erzeugt, um nachweisbare vergrabene SPP-Moden zu erzeugen.
In Kapitel 4 wird die Idee der Visualisierung vergrabener elektrischer Felder mit s-SNOM fortgesetzt. Hier wird es auf die Untersuchung von WS_2 angewendet, einem zweidimensionalen TMDC-Material, welches Photolumineszenz zeigt. Durch die Strukturierung des Galliumphosphid-Substrats unter der hängenden Monolage, die von einer dünnen Schicht aus hBN getragen wird, wird die Photolumineszenzausbeute um den Faktor 10 erhöht. Dies wird durch den Entwurf einer lateralen DBR-Mikrokavität mit zusätzlich optimierter vertikaler Tiefe erreicht, die in das Substrat geätzt wurde.
Die hochauflösende Abbildung der elektrischen Feldverteilung im Resonator wird durch den Einsatz von s-SNOM ermöglicht, um die Verbesserung der Einkopplung durch diese beiden Ansätze zu bewerten. Es konnte festgestellt werden, dass die laterale Struktur überwiegend zur verstärkten Photolumineszenzausbeute beiträgt, während für die Einkopplung keine offensichtliche Verstärkung auf die vertikale Strukturoptimierung zurückgeführt werden konnte.
Das zweidimensionale Material WS_2 wird in Kapitel 5 erneut mit Hilfe von c-AFM untersucht. Unterschiedlich dicke Multilagen auf Graphen und Gold dienen als Tunnelbarrieren für vertikale Ströme zwischen Substrat und leitender c-AFM-Messpitze. Die Daten können mit einem Fowler-Nordheim-Modell mit Parametern für die Tunnelbreite und Schottky-Barrierenhöhen der beiden Grenzflächen erklärt werden. Die Messungen zeigen jedoch eine schwache Reproduzierbarkeit, was eine detailliertere Zusammenfassung der relevanten Fehlerquellen erfordert. In der Schlussfolgerung des Kapitels werden mehrere Schlüsselaspekte vorgeschlagen, die bei künftigen Messungen berücksichtigt werden sollten. Entscheidend ist, dass c-AFM sehr empfindlich auf die Adsorption von Wasserfilmen an der Probenoberfläche reagiert, worunter WS_2-Oberflächen unter Umgebungsbedingungen leiden...
Cysteine cross-linking in native membranes establishes the transmembrane architecture of Ire1
(2021)
The ER is a key organelle of membrane biogenesis and crucial for the folding of both membrane and secretory proteins. Sensors of the unfolded protein response (UPR) monitor the unfolded protein load in the ER and convey effector functions for maintaining ER homeostasis. Aberrant compositions of the ER membrane, referred to as lipid bilayer stress, are equally potent activators of the UPR. How the distinct signals from lipid bilayer stress and unfolded proteins are processed by the conserved UPR transducer Ire1 remains unknown. Here, we have generated a functional, cysteine-less variant of Ire1 and performed systematic cysteine cross-linking experiments in native membranes to establish its transmembrane architecture in signaling-active clusters. We show that the transmembrane helices of two neighboring Ire1 molecules adopt an X-shaped configuration independent of the primary cause for ER stress. This suggests that different forms of stress converge in a common, signaling-active transmembrane architecture of Ire1.