3,747 research outputs found

    Two-dimensional metal halide perovskites and their heterostructures: from synthesis to applications

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    Size- and shape- dependent unique properties of the metal halide perovskite nanocrystals make them promising building blocks for constructing various electronic and optoelectronic devices. These unique properties together with their easy colloidal synthesis render them efficient nanoscale functional components for multiple applications ranging from light emission devices to energy conversion and storage devices. Recently, two-dimensional (2D) metal halide perovskites in the form of nanosheets (NSs) or nanoplatelets (NPls) are being intensively studied due to their promising 2D geometry which is more compatible with the conventional electronic and optoelectronic device structures where film-like components are employed. In particular, 2D perovskites exhibit unique thickness-dependent properties due to the strong quantum confinement effect, while enabling the bandgap tuning in a wide spectral range. In this review the synthesis procedures of 2D perovskite nanostructures will be summarized, while the application-related properties together with the corresponding applications will be extensively discussed. In addition, perovskite nanocrystals/2D material heterostructures will be reviewed in detail. Finally, the wide application range of the 2D perovskite-based structures developed to date, including pure perovskites and their heterostructures, will be presented while the improved synergetic properties of the multifunctional materials will be discussed in a comprehensive way.Comment: 83 pages, 38 Figure

    Marchenko-Lippmann-Schwinger inversion

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    Seismic wave reflections recorded at the Earth’s surface provide a rich source of information about the structure of the subsurface. These reflections occur due to changes in the material properties of the Earth; in the acoustic approximation, these are the density of the Earth and the velocity of seismic waves travelling through it. Therefore, there is a physical relationship between the material properties of the Earth and the reflected seismic waves that we observe at the surface. This relationship is non-linear, due to the highly scattering nature of the Earth, and to our inability to accurately reproduce these scattered waves with the low resolution velocity models that are usually available to us. Typically, we linearize the scattering problem by assuming that the waves are singly-scattered, requiring multiple reflections to be removed from recorded data at great effort and with varying degrees of success. This assumption is called the Born approximation. The equation that describes the relationship between the Earth’s properties and the fully-scattering reflection data is called the Lippmann-Schwinger equation, and this equation is linear if the full scattering wavefield inside the Earth could be known. The development of Marchenko methods makes such wavefields possible to estimate using only the surface reflection data and an estimate of the direct wave from the surface to each point in the Earth. Substituting the results from a Marchenko method into the Lippmann-Schwinger equation results in a linear equation that includes all orders of scattering. The aim of this thesis is to determine whether higher orders of scattering improve the linear inverse problem from data to velocities, by comparing linearized inversion under the Born approximation to the inversion of the linear Lippmann-Schwinger equation. This thesis begins by deriving the linear Lippmann-Schwinger and Born inverse problems, and reviewing the theoretical basis for Marchenko methods. By deriving the derivative of the full scattering Green’s function with respect to the model parameters of the Earth, the gradient direction for a new type of least-squares full waveform inversion called Marchenko-Lippmann-Schwinger full waveform inversion is defined that uses all orders of scattering. By recreating the analytical 1D Born inversion of a boxcar perturbation by Beydoun and Tarantola (1988), it is shown that high frequency-sampling density is required to correctly estimate the amplitude of the velocity perturbation. More importantly, even when the scattered wavefield is defined to be singly-scattering and the velocity model perturbation can be found without matrix inversion, Born inversion cannot reproduce the true velocity structure exactly. When the results of analytical inversion are compared to inversions where the inverse matrices have been explicitly calculated, the analytical inversion is found to be superior. All three matrix inversion methods are found to be extremely ill-posed. With regularisation, it is possible to accurately determine the edges of the perturbation, but not the amplitude. Moving from a boxcar perturbation with a homogeneous starting velocity to a many-layered 1D model and a smooth representation of this model as the starting point, it is found that the inversion solution is highly dependent on the starting model. By optimising an iterative inversion in both the model and data domains, it is found that optimising the velocity model misfit does not guarantee improvement in the resulting data misfit, and vice versa. Comparing unregularised inversion to inversions with Tikhonov damping or smoothing applied to the kernel matrix, it is found that strong Tikhonov damping results in the most accurate velocity models. From the consistent under-performance of Lippmann-Schwinger inversion when using Marchenko-derived Green’s functions compared to inversions carried out with true Green’s functions, it is concluded that the fallibility of Marchenko methods results in inferior inversion results. Born and Lippmann-Schwinger inversion are tested on a 2D syncline model. Due to computational limitations, using all sources and receivers in the inversion required limiting the number of frequencies to 5. Without regularisation, the model update is uninterpretable due to the presence of strong oscillations across the model. With strong Tikhonov damping, the model updates obtained are poorly scaled, have low resolution, and low amplitude oscillatory noise remains. By replacing the inversion of all sources simultaneously with single source inversions, it is possible to reinstate all frequencies within our limited computational resources. These single source model updates can be stacked similarly to migration images to improve the overall model update. As predicted by the 1D analytical inversion, restoring the full frequency bandwidth eliminates the oscillatory noise from the inverse solution. With or without regularisation, Born and Lippmann-Schwinger inversion results are found to be nearly identical. When Marchenko-derived Green’s functions are introduced, the inversion results are worse than either the Born inversion or the Lippmann-Schwinger inversion without Marchenko methods. On this basis, one concludes that the inclusion of higher order scattering does not improve the outcome of solving the linear inverse scattering problem using currently available methods. Nevertheless, some recent developments in the methods used to solve the Marchenko equation hold some promise for improving solutions in future

    Luminescent Nanocrystals: Line broadening and formation mechanisms

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    Nanomaterials have become an increasingly important class of materials in the past decades due to their size-tunable optical, electronic, and magnetic properties. Nanomaterials are not only of great scientific interest, but their versatility has also resulted in a wide range of applica¬tions. This thesis focuses on two types of luminescent (light-emitting) nanomaterials, cadmium chalcogenide nanocrystals (NCs) and NaYF4 NCs doped with rare earth ions (lanthanides, e.g., erbium and ytterbium). Both the optical properties and nanocrystal growth mechanisms are investigated. Semiconductor NCs, especially CdSe nanoplatelets (NPLs), exhibit narrow emission bands in the visible part of the spectrum, a property needed for more efficient white light LEDs (w-LEDs) and vibrant displays. In these applications, the luminescent materials operate at elevated tem¬peratures, which affects the emission linewidth. Insight into this thermal broadening is important for application in w-LEDs but has so far not been investigated over a temperature range that is relevant for these applications. In this thesis, I report on the temperature-dependent spectral linewidth of cadmium chalcogenide NPLs and QDs. NaYF4 NCs doped with lanthanide ions are efficient upconversion materials that can convert two low-energy infrared photons to one high-energy visible photon. These materials can be used in deep-tissue imaging and to enhance the efficiency of solar cells. The formation mechanism of both NaYF4 NCs and CdSe NPLs is still debated. Control over the NC growth is essential to adjust the NC properties. In this thesis, I report on the mechanisms of their nucleation and growth, monitored using in situ absorption and x-ray scattering techniques

    Measurement of left ventricular deformation using 3D echocardiography

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    Bakgrunn: 3D speckle tracking ekkokardiografi (STE) er en hjerteultralydmetode som gir mulighet for måling av deformasjonsparametere, som strain, rotasjon, tvist og torsjon. Den største begrensningen for 3D STE er lav tids- og romlig oppløsning. Økes den ene oppløsingen vil den andre bli redusert. I tillegg vil andre faktorer som antall flettede bilder, sektorstørrelse og dybde påvirke begge oppløsningene. Denne avhandlingen har hatt som mål å finne tilstander og opptaksinnstillinger for å optimalisere nøyaktigheten til 3D STE-parametere i et kontrollert miljø. Videre har det vært som mål å finne regional deformasjon fra 3D STE i en klinisk studie på pasienter med aortaklaffestenose (AS) ved bruk av optimaliserte innstillinger. Materiale og metode: Studie 1 og 2 utforsket nøyaktigheten til 3D STE ved bruk av et in vitro-oppsett med et fantom av venstre ventrikkel. Studie 1 sammenlignet 3D STE strain mot sonomikromertri som gullstandard i longitudinell, sirkumferensiell og radiell retning. Ved å bruke et annet fantom i studie 2 ble 3D STE tvist sammenlignet mot sonomikrometri tvist for å finne nøyaktigheten til 3D STE tvistmålinger. Studie 3 inkluderte 85 pasienter med variabel grad av AS i en tverrsnittstudie. 3D ekkokardiografi ble utført og 3D STE-parametere ble sammenlignet mellom grupper av pasienter med mild, moderat og alvorlig AS. Resultater: Studie 1 fant godt samsvar mellom 3D STE og sonomikrometri med optimalt volum rate på 36,6 volumer per sekund (VPS) ved bruk av 6 sammenflettede bilder. I studie 2 hadde 3D STE godt samsvar ved bruk av både 4 og 6 sammenflettede bilder med volum rater på henholdsvis 20,3 og 17,1 VPS. Studie 3 fant lavere global longitudinal strain i pasienter med alvorlig AS sammenlignet med mild AS. Basal og midtre longitudinal strain var også lavere i alvorlig sammenlignet med mild AS. Apikal-basal ratio var høyere for moderat i forhold til mild AS. Maks apikal-basal tvist var høyere hos pasienter med alvorlig sammenlignet med mild og moderat AS. Konklusjon: Måling av venstre ventrikkelfunksjon med 3D STE er mest nøyaktig med volum rater < 40 VPS. Høy romlig oppløsning virker å være mer viktig enn tidsoppløsning. Pasienter med alvorlig AS har lavere global, basal og midtre longitudinal strain enn pasienter med mild AS, ved bruk av 3D STE. De har også høyere tvist enn mild og moderat AS. Områder som involverer apeks, har høyere spredning av data og har antagelig lavere nøyaktighet ved bruk av 3D STE.Background: 3D speckle tracking echocardiography (STE) enables measurement of multiple parameters of deformation, such as strain, rotation, twist and torsion. The main limitation of 3D STE is low temporal and spatial resolution. Increasing resolution in time will decrease resolution in space, and vice versa. In addition, other factors such as number of stitched images, sector size and depth, influence the resolution. This thesis aimed to find conditions and acquisition settings to optimize accuracy for 3D STE parameters in a controlled in vitro environment. Secondly, it aimed to evaluate regional deformation by 3D STE in a clinical study on patients with aortic valve stenosis (AS) using optimized settings. Materials and methods: Study 1 and 2 explored the accuracy of 3D STE using an in vitro setup with a left ventricle (LV) phantom. Study 1 compared 3D STE strain to strain by sonomicrometry as the gold standard. Measurements were compared in both longitudinal, circumferential and radial direction. Using a different twisting phantom in study 2, 3D STE twist was compared to twist by sonomicrometry to evaluate the accuracy of 3D STE twist. Study 3 was a cross-sectional analysis of 85 patients with variable degree of AS in a cross-sectional study. 3D echocardiography was done, and 3D STE parameters were compared between groups of patients with mild, moderate and severe AS. Results: Study 1 found 3D STE strain to have good agreement with sonomicrometry. Optimal acquisition settings were found to be volume rate 36.6 volumes per second (VPS) obtained by 6 stitched images. Study 2 found 3D STE twist to have good agreement with sonomicrometry when using both 4 and 6 stitched images with volume rates 20.3 and 17.1 VPS, respectively. Study 3 found global longitudinal strain to be lower in patients with severe AS compared to those with mild AS. Basal and mid longitudinal strains were also lower in severe AS than in mild AS. Apical basal ratio was higher for moderate than mild AS. Peak apical-basal twist was higher in patients with severe AS than in those with mild and moderate AS. Conclusion: Assessment of LV function by 3D STE is most accurate at volume rates < 40 VPS. High spatial resolution seems to be more important than temporal resolution. Patients with severe AS have lower global, as well as lower regional basal and mid longitudinal strain compared to patients with mild AS, assessed with 3D STE. They also have higher twist than mild and moderate AS. Segments involving the apex have high dispersion and probably lower accuracy in 3D STE.Doktorgradsavhandlin

    Taylor University Catalog 2023-2024

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    The 2023-2024 academic catalog of Taylor University in Upland, Indiana.https://pillars.taylor.edu/catalogs/1128/thumbnail.jp

    Kenyon Alumni Magazine - Spring 2023

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    https://digital.kenyon.edu/kcab/1304/thumbnail.jp

    A Routine and Post-disaster Road Corridor Monitoring Framework for the Increased Resilience of Road Infrastructures

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    Autonomisten metsäkoneiden koneaistijärjestelmät

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    A prerequisite for increasing the autonomy of forest machinery is to provide robots with digital situational awareness, including a representation of the surrounding environment and the robot's own state in it. Therefore, this article-based dissertation proposes perception systems for autonomous or semi-autonomous forest machinery as a summary of seven publications. The work consists of several perception methods using machine vision, lidar, inertial sensors, and positioning sensors. The sensors are used together by means of probabilistic sensor fusion. Semi-autonomy is interpreted as a useful intermediary step, situated between current mechanized solutions and full autonomy, to assist the operator. In this work, the perception of the robot's self is achieved through estimation of its orientation and position in the world, the posture of its crane, and the pose of the attached tool. The view around the forest machine is produced with a rotating lidar, which provides approximately equal-density 3D measurements in all directions. Furthermore, a machine vision camera is used for detecting young trees among other vegetation, and sensor fusion of an actuated lidar and machine vision camera is utilized for detection and classification of tree species. In addition, in an operator-controlled semi-autonomous system, the operator requires a functional view of the data around the robot. To achieve this, the thesis proposes the use of an augmented reality interface, which requires measuring the pose of the operator's head-mounted display in the forest machine cabin. Here, this work adopts a sensor fusion solution for a head-mounted camera and inertial sensors. In order to increase the level of automation and productivity of forest machines, the work focuses on scientifically novel solutions that are also adaptable for industrial use in forest machinery. Therefore, all the proposed perception methods seek to address a real existing problem within current forest machinery. All the proposed solutions are implemented in a prototype forest machine and field tested in a forest. The proposed methods include posture measurement of a forestry crane, positioning of a freely hanging forestry crane attachment, attitude estimation of an all-terrain vehicle, positioning a head mounted camera in a forest machine cabin, detection of young trees for point cleaning, classification of tree species, and measurement of surrounding tree stems and the ground surface underneath.Metsäkoneiden autonomia-asteen kasvattaminen edellyttää, että robotilla on digitaalinen tilannetieto sekä ympäristöstä että robotin omasta toiminnasta. Tämän saavuttamiseksi työssä on kehitetty autonomisen tai puoliautonomisen metsäkoneen koneaistijärjestelmiä, jotka hyödyntävät konenäkö-, laserkeilaus- ja inertia-antureita sekä paikannusantureita. Työ liittää yhteen seitsemässä artikkelissa toteutetut havainnointimenetelmät, joissa useiden anturien mittauksia yhdistetään sensorifuusiomenetelmillä. Työssä puoliautonomialla tarkoitetaan hyödyllisiä kuljettajaa avustavia välivaiheita nykyisten mekanisoitujen ratkaisujen ja täyden autonomian välillä. Työssä esitettävissä autonomisen metsäkoneen koneaistijärjestelmissä koneen omaa toimintaa havainnoidaan estimoimalla koneen asentoa ja sijaintia, nosturin asentoa sekä siihen liitetyn työkalun asentoa suhteessa ympäristöön. Yleisnäkymä metsäkoneen ympärille toteutetaan pyörivällä laserkeilaimella, joka tuottaa lähes vakiotiheyksisiä 3D-mittauksia jokasuuntaisesti koneen ympäristöstä. Nuoret puut tunnistetaan muun kasvillisuuden joukosta käyttäen konenäkökameraa. Lisäksi puiden tunnistamisessa ja puulajien luokittelussa käytetään konenäkökameraa ja laserkeilainta yhdessä sensorifuusioratkaisun avulla. Lisäksi kuljettajan ohjaamassa puoliautonomisessa järjestelmässä kuljettaja tarvitsee toimivan tavan ymmärtää koneen tuottaman mallin ympäristöstä. Työssä tämä ehdotetaan toteutettavaksi lisätyn todellisuuden käyttöliittymän avulla, joka edellyttää metsäkoneen ohjaamossa istuvan kuljettajan lisätyn todellisuuden lasien paikan ja asennon mittaamista. Työssä se toteutetaan kypärään asennetun kameran ja inertia-anturien sensorifuusiona. Jotta metsäkoneiden automatisaatiotasoa ja tuottavuutta voidaan lisätä, työssä keskitytään uusiin tieteellisiin ratkaisuihin, jotka soveltuvat teolliseen käyttöön metsäkoneissa. Kaikki esitetyt koneaistijärjestelmät pyrkivät vastaamaan todelliseen olemassa olevaan tarpeeseen nykyisten metsäkoneiden käytössä. Siksi kaikki menetelmät on implementoitu prototyyppimetsäkoneisiin ja tulokset on testattu metsäympäristössä. Työssä esitetyt menetelmät mahdollistavat metsäkoneen nosturin, vapaasti riippuvan työkalun ja ajoneuvon asennon estimoinnin, lisätyn todellisuuden lasien asennon mittaamisen metsäkoneen ohjaamossa, nuorten puiden havaitsemisen reikäperkauksessa, ympäröivien puiden puulajien tunnistuksen, sekä puun runkojen ja maanpinnan mittauksen

    Undergraduate and Graduate Course Descriptions, 2023 Spring

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    Wright State University undergraduate and graduate course descriptions from Spring 2023
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