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At least 433 records · Page 24

A High-Speed Z-Axis MEMS STM Nanopositioner

Scanning tunneling microscope (STM) is a powerful and versatile tool, not only capable of obtaining topographic information at atomic levels from a conductive surface, but also suited for patterning, manipulation and other applications, all with unprecedented precision. A typical STM’s operation relies on the quantum tunneling phenomenon. Providing a few angstroms of tip-sample separation, and a bias voltage between the two, a tunneling current (TC) is established. The tunneling current is logarithmically proportional to the tip sample separation . During imaging, a three degree of freedom (DOF) piezotube is employed to scan the tip over the surface, while a PI controller drives the Z axis in order to maintain the tunneling current at the set value. Therefore, an image of the sample surface can be constructed using the Z axis controller output, along with the corresponding X, and Y coordinates from the piezotube. Despite its well-established use in high precision applications, the achievable scan speed of the conventional STM has remained limited since its advent. One of the main reasons limiting the achievable scan speed is the relatively low operation bandwidth of the bulky piezotube Z-axis positioner, which is typically less than 1 kHz in conventional systems . This limitation correspondingly hinders the ability of the Z-axis controller to rapidly respond to the changes in the topography during the scan. To address this limitation, we design, build and characterize a high-bandwidth, 1-DOF nanopositioner with an electrostatic parallel plate actuation mechanism and a conductive tip, to replace the Z axis of the currently available STM piezotubes (Figure 1). The device is microfabricated using an SOI wafer with two device layers, where the top-most layer is designated for the tunneling current sensing, and contains the conductive tip realized by FIB induced deposition. The bottom device layer, on the other hand, comprises the actuation mechanism along with the shuttle and mechanical flexures, that provides 2-µm displacement range in one direction, comparable to a typical STM piezoelectric tube scanner. Importantly, the nanopositioner is structurally designed to have a -3dB bandwidth of 15.6 kHz, increasing the STM positioners’ Z axis bandwidth more than an order of magnitude as experimentally shown in Figure 2. Using this system we were able to demonstrate that tunneling current can be successfully established on an HOPG sample in air and successfully maintained for over two minutes (Figures 3-4).

FIB↗

Impact Fracture and Fragmentation of Glass via the 3D Combined Finite-Discrete Element Method

A driving technical concern for the automobile industry is their assurance that developed windshield products meet Federal safety standards. Besides conducting innumerable glass breakage experiments, product developers also have the option of utilizing numerical approaches that can provide further insight into glass impact breakage, fracture, and fragmentation. The combined finite-discrete element method (FDEM) is one such tool and was used in this study to investigate 3D impact glass fracture processes. To enable this analysis, a generalized traction-separation model, which defines the constitutive relationship between the traction and separation in FDEM cohesive zone models, was introduced. The mechanical responses of a laminated glass and a glass plate under impact were then analyzed. For laminated glass, an impact fracture process was investigated and results were compared against corresponding experiments. Correspondingly, two glass plate impact fracture patterns, i.e., concentric fractures and radial fractures, were simulated. The results show that for both cases, FDEM simulated fracture processes and fracture patterns are in good agreement with the experimental observations. The work demonstrates that FDEM is an effective tool for modeling of fracture and fragmentation in glass.

42 ENGINEERING↗

Emulating climate extreme indices

We use simple pattern scaling and time-shift to emulate changes in a set of climate extreme indices under future scenarios, and evaluate the emulators' accuracy. We propose a metric for the error in emulation in the context of initial condition ensembles, to specifically characterize the role of internal variability in the emulation performance. Our metric separates systematic emulation errors from unavoidable discrepancies between emulated and target values due to internal variability. We compute the metricis at grid-point scale, and we show geographically resolved results, or aggregate them at global scale. We demonstrate the use of our error metric in the emulation of a suite of temperature and precipitation extreme indices. We test and compare simple pattern scaling and time-shift using a range of trajectories spanning targets inspired by the Paris agreement -- warming to 1.5C and 2.0C from the pre-industrial baseline -- and two of the longer-established trajectories, RCP4.5 and RCP8.5. With this suite of scenarios we can test the effects on the performance of the size of the temperature gap between emulation origin and target. We find that for most indices emulation the dominant source of discrepancy is internal variability. For at least one index, however, counting exceedances of a high temperature threshold, significant portions of the globally aggregated discrepancy and its regional pattern originate from the systematic emulation error. This error exceeds internal variability of both the target and the emulated quantities in large coherent regions at low latitudes, and the explanation can be found in the differential behavior of temperature distributions across latitudes. The metric also highlights a fundamental difference in the two methods related to the simulation of internal variability, which is dampened significantly by simple pattern scaling. This aspect is of consequence when using these methods for specific applications, where preserving variability for uncertainty quantification is deemed important. With this study we offer our metric as a diagnostic tool, facilitating the formulation of scientific hypotheses on the reasons for the error. In the meantime, we show that for many impact relevant indices by now traditional emulation techniques can be accurate within the variations unavoidably introduced by internal variability, establishing the fundamental condition for using their emulation in impact modeling.

54 ENVIRONMENTAL SCIENCES↗

Monolithic Integration of Arrays of Single-Walled Carbon Nanotubes and Sheets of Graphene

Sheets of graphene and arrays of single-walled carbon nanotubes (SWNTs) are formed separately using chemical vapor deposition techniques onto different optimized growth substrates. Here, techniques of transfer printing provide a route to integration, yielding two terminal devices and transistors in which patterned structures of graphene form the electrodes and the SWNTs arrays serve as the semiconducting channels.

36 MATERIALS SCIENCE↗

Lower molar shape and size in prosimian and platyrrhine primates

Abstract The goal of this research is to evaluate the relative strength of the influences of diet, size, and phylogenetic signal on dental geometric shape. Accurate comprehension of these factors and their interaction is important for reconstructing diet and deriving characters for a cladistic analysis in fossil primates. Geometric morphometric analysis is used to identify axes of shape variation in the lower second molars of (a) prosimian primates and (b) platyrrhines. Landmarks were placed on µCT‐generated surface renderings. Landmark configurations were aligned using generalized Procrustes analysis. Principal components analysis and phylogenetic principal components analysis (pPCA) were performed on species average landmark co‐ordinates. pPCs were examined with phylogenetic generalized least squares analysis for association with size and with diet. PCs from both phylogenetic and non‐phylogenetic analyses were sufficient to separate species by broad dietary categories, including insectivores and folivores. In neither analysis was pPC1 correlated with tooth size, but some other pPCs were significantly correlated with size. The pattern of association between pPCs and size altered when centroid size and dietary variables were combined in the model; effects of diet factors typically exceeded effects of size. These results indicate a dominant phylogenetic and dietary signal in molar shape but also show some shape change correlated with size in the absence of obvious dietary associations. Geometric morphometric analysis appears to be useful for tracking functional traits in molars, particularly in tracking differences between folivorous and insectivorous species.

St. Clair, Elizabeth M.↗

Chemical and structural analyses of subsurface crevices formed during spontaneous deposition of cerium-based conversion coatings

Subsurface crevices formed during the deposition of cerium-based conversion coatings were analyzed in cross-section to assess the effect of deposition and post-treatment on the structure and chemistry of phases present. An Al-O containing phase, believed to be amorphous Al(OH){sub 3}, was formed in crevices during coating deposition. Analysis by energy dispersive X-ray spectroscopy revealed the presence of up to 1.6 at.% chlorine within the Al-O phase, which was likely a product of soluble chlorides that were present in the coating solution. Cerium was not detected within crevices. After post-treatment in an 85 deg. C aqueous phosphate solution, the chloride concentration was reduced to {<=} 0.30 at.% and electron diffraction of the Al-O phase produced ring patterns, indicating it had crystallized. Some diffraction patterns could be indexed to gibbsite (Al(OH){sub 3}), but others are believed to be a combination of hydrated aluminum hydroxides and/or oxides. Aluminum phosphate was not identified. Separately from its effect on cerium-based conversion coatings, phosphate post-treatment improved the corrosion resistance of Al 2024-T3 substrates by acting to crystallize Al(OH){sub 3} present on interior surfaces of crevices and by reducing the chloride concentration in this phase. - Highlights: {yields} Analysis of subsurface crevices formed during deposition of Ce-based conversion coatings. {yields} Phosphate post-treatment improved corrosion protection in salt spray testing. {yields} Post-treatment affected the composition and structure of regions within crevices. {yields} Crystallized Al(OH){sub 3} within crevices acted as a more effective barrier to chloride ions.

36 MATERIALS SCIENCE↗

Phase Intergrowth and Structural Defects in Organic Metal Halide Ruddlesden–Popper Thin Films

Organic metal halide Ruddlesden–Popper phases combine the excellent optoelectronic properties of three-dimensional, bulk hybrid perovskites with superior material stability in ambient conditions. However, the thin film structure of these layered perovskites is still poorly understood, as phase purity is typically determined solely by specular X-ray diffraction. The thin film structure of these Ruddlesden–Popper phases was examined by increasingly local characterization techniques. It is difficult to assess the phase purity by purely bulk optical and diffraction measurements. From the comparison of grazing-incidence wide angle X-ray scattering (GIWAXS) patterns of cast films to expected scattering from single-crystal structures, significant in-plane disorder was observed. Spatially localized photoluminescence measurements show that films do not phase separate on the micrometer-scale. Selected area electron diffraction measurements show the intergrowth of different phases within the same thin film, consistent with previous observations seen in epitaxially-grown Ruddlesden–Popper complex oxides. Despite the presence of phase impurities that would typically be detrimental for device performance, fits to photothermal deflection spectroscopy measurements show relatively low Urbach energies of 33 meV for (C 4 H 9 NH 3 ) 2 (CH 3 NH 3 ) 2 Pb 3 I 10 and 32 meV for (C 4 H 9 NH 3 ) 2 (CH 3 NH 3 ) 3 Pb 4 I 13 , indicating that the electronic properties are insensitive to the phase impurities.

36 MATERIALS SCIENCE↗

Nonlinear fluorescence spectroscopy of layered perovskite quantum wells

Interest in layered organohalide perovskites is motivated by their potential for use in optoelectronic devices. In these systems, the smallest and largest quantum wells are primarily concentrated near the glass and air interfaces of a film, thereby establishing a gradient in the average values of the bandgaps. It has been suggested that this layered architecture promotes the funneling of electronic excitations through space in a manner similar to light-harvesting processes in photosynthetic antennae. Whereas energy and charge transfer are difficult to distinguish by conventional transient absorption techniques, it has recently been shown that these competing relaxation mechanisms may be separately targeted with nonlinear fluorescence (NLFL) and photocurrent “action spectroscopies.” Here, we present perturbative rate functions to describe NLFL experiments conducted on layered perovskite systems. The formulas reproduce the patterns of resonances observed in experimental measurements and show how signatures of energy transfer manifest in two-dimensional spectra. Overall, this work suggests that NLFL spectroscopy may be used to fully reveal the trajectories of electronic excitations by correlating ultrafast energy transfer pathways to fluorescence emission from the thickest quantum wells.

Ouyang, Zhenyu↗

Generalised hyper-Ramsey resonance with spinors

The generalised hyper-Ramsey resonance formula originally published in Phys. Rev. A, 92, 023416 (2015) is derived using a Cayley – Klein spinor parametrisation. The shape of the interferometric resonance and the associated composite phase shift are reformulated including all individual laser pulse parameters. Potential robustness of signal contrast and phase-shift of the wave-function fringe pattern can now be arbitrarily explored tracking any shape distortion due to systematic effects from the probe laser. An exact and simple analytical expression describing Ramsey’s method of separated composite oscillating laser fields with quantum state control allows us to accurately simulate all recent clock interrogation protocols under various pulse defects. (selected papers presented at the viii symposium 'mplp-2018')

71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSIC↗

WE-G-BRD-05: Is “New Radiobiology” Needed to Account for the Anti-Tumor Efficacy of Hypofractionated Lung SBRT?

Purpose: The radiobiological understanding of SBRT is controversial. In this work, we modeled SBRT outcomes based on a previously published tumor control probability model, that incorporates hypoxia, proliferation and cell-cycle effects, in order to understand if non-traditional factors must be invoked to understand the efficacy of single and multiple fraction SBRT. Methods: We extracted cohorts from Mehta et al. (PRO (2012) 2:288) with easily identifiable fractionation parameters and commensurate outcome and prescription methods (n=2617). Each RT scheme was simulated in the model, and the surviving fraction (SF) of tumor cells was estimated. Another simulation was then carried out with conventional (2Gy/fx, 5fx/wk) fractionation until the same SF was achieved, resulting in model-derived equivalent dose in 2Gy/fx for α/β=10 (EQD2{sub 10}(model)). In the scatter plot of the outcome vs. EQD2{sub 10}(model), logistic regressions were performed for the total group or separate groups (conventional RT, SBRT with 3×10 fxs, and single fx SBRT), assuming the slope of the dose response curve (γ{sub 50}) of 1.5. Chi-squared tests were performed to test the validity of the fit. Results: With unfavorable hypoxic and cell-cycle effects, the effectiveness of typical SBRT regimes were predicted by the model to be significantly less effective than comparable standard fractionation regimes. The single-fraction TD{sub 50} was only 55% of the conventional fractionation TD{sub 50}, in units of EQD2{sub 10}(model). The dose response curves for the separate fractionation groups seems to represent the three different groups, with a high p-value for both SBRT groups. For the lower α/β of 3, the same patterns were observed with smaller differences among the groups. Conclusion: Based on classical radiobiology, the dose response relation of SBRT was evaluated and compared with conventional RT. Observed SBRT outcomes are inconsistent with classical radiobiology principles, suggesting the possible other effects, which increases as the fractional dose increases.

60 APPLIED LIFE SCIENCES↗

New measurement techniques for gear-changing research using DESIREE

In this work we cover some of the newer techniques developed to measure the effects of a gear changing system maintained in DESIREE at Stockholm University. Gear-changing is a collider synchronization method where two rings with different harmonic numbers in them maintain collisions through different velocities, pathlengths or a combination of the two. This system has been demonstrated using the low energy ion collider DESIREE at Stockholm university. We have not only continued our previous methods of studying the beam using a repeating pattern technique where one bucket in each ring is intentionally left empty, but we now also use recently installed pickups outside of the merger region to study the beams separately while they collide.

Accelerator Physics↗

Validation and quantification of uncertainty in coupled climate models using network analysis

We developed a fast, robust and scalable methodology to examine, quantify, and visualize climate patterns and their relationships. It is based on a set of notions, algorithms and metrics used in the study of graphs, referred to as complex network analysis. This approach can be applied to explain known climate phenomena in terms of an underlying network structure and to uncover regional and global linkages in the climate system, while comparing general circulation models outputs with observations. The proposed method is based on a two-layer network representation, and is substantially new within the available network methodologies developed for climate studies. At the first layer, gridded climate data are used to identify ‘‘areas’’, i.e., geographical regions that are highly homogeneous in terms of the given climate variable. At the second layer, the identified areas are interconnected with links of varying strength, forming a global climate network. The robustness of the method (i.e. the ability to separate between topological distinct fields, while identifying correctly similarities) has been extensively tested. It has been proved that it provides a reliable, fast framework for comparing and ranking the ability of climate models of reproducing observed climate patterns and their connectivity. We further developed the methodology to account for lags in the connectivity between climate patterns and refined our area identification algorithm to account for autocorrelation in the data. The new methodology based on complex network analysis has been applied to state-of-the-art climate model simulations that participated to the last IPCC (International Panel for Climate Change) assessment to verify their performances, quantify uncertainties, and uncover changes in global linkages between past and future projections. Network properties of modeled sea surface temperature and rainfall over 1956–2005 have been constrained towards observations or reanalysis data sets, and their differences quantified using two metrics. Projected changes from 2051 to 2300 under the scenario with the highest representative and extended concentration pathways (RCP8.5 and ECP8.5) have then been determined. The network of models capable of reproducing well major climate modes in the recent past, changes little during this century. In contrast, among those models the uncertainties in the projections after 2100 remain substantial, and primarily associated with divergences in the representation of the modes of variability, particularly of the El Niño Southern Oscillation (ENSO), and their connectivity, and therefore with their intrinsic predictability, more so than with differences in the mean state evolution. Additionally, we evaluated the relation between the size and the ‘strength’ of the area identified by the network analysis as corresponding to ENSO noting that only a small subset of models can reproduce realistically the observations.

54 ENVIRONMENTAL SCIENCES↗

Size-Dependent Onset of Nitric Acid Dissociation in Cs + ·(HNO 3 )(H 2 O) n =0–11 Clusters at 20 K

We report the water-mediated charge separation of nitric acid upon incorporation into size-selected Cs + ∙(HNO 3 )(H 2 O) n=0-11 clusters at 20 K. Dramatic spectral changes are observed in the range n=7-9 that are traced to the formation of many isomeric structures associated with intermediate transfer of the acidic proton to the water network. This transfer is complete by n=10, which exhibits much simpler vibrational band patterns consistent with those expected for a tri-coordinated hydronium ion (the Eigen motif) along with the NO stretching bands predicted for a hydrated NO 3 – anion that is directly complexed to the Cs + cation. Theoretical analysis of the n=10 spectrum indicates that the dissociated ions adopt a solvent-separated ion-pair configuration such that the Cs + and H 3 O + cations flank the NO 3 – anion in a microhydrated salt bridge. In conclusion, this charge separation motif is evidently assisted by the electrostatic stabilization of the product NO 3 – /H 3 O + ion pair by the proximal metal ion.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

Blood cadmium by race/hispanic origin: The role of smoking

Background: There have been increasing concerns over health effects of low level exposure to cadmium, especially those on bones and kidneys. Objective: To explore how age-adjusted geometric means of blood cadmium in adults varied by race/Hispanic origin, sex, and smoking status among U.S. adults and the extent to which the difference in blood cadmium by race/Hispanic origin and sex may be explained by intensity of smoking, a known major source of cadmium exposure. Methods: Our sample included 7,368 adults from National Health and Nutrition Examination Survey (NHANES) 2011–2014. With direct age adjustment, geometric means of blood cadmium and number of cigarettes smoked per day were estimated for subgroups defined by race/Hispanic origin, smoking status, and sex using interval regression, which allows mean estimation in the presence of left- and right-censoring. Results: Among never and former smoking men and women, blood cadmium tended to be higher for non-Hispanic Asian adults than adults of other race/Hispanic origin. Among current smokers, who generally had higher blood cadmium than never and former smokers, non-Hispanic white, black, and Asian adults had similarly elevated blood cadmium compared to Hispanic adults. A separate analysis revealed that non-Hispanic white adults tended to have the highest smoking intensity regardless of sex, than adults of the other race/Hispanic origin groups. Conclusions: The observed pattern provided evidence for smoking as a major source of cadmium exposure, yet factors other than smoking also appeared to contribute to higher blood cadmium of non-Hispanic Asian adults. - Highlights: • Among never and former smoking adults, Asians have the highest blood cadmium. • White adults tend to have the highest smoking intensity, but not blood cadmium. • Women overall have higher levels of blood cadmium than men regardless of smoking. • Non-smoking sources of exposure likely contribute to Asians’ higher blood cadmium.

60 APPLIED LIFE SCIENCES↗

Structural and optical properties of core–shell Ag{sub 2}S/HgS nanostructures

Graphical abstract: - Highlights: • Core–shell Ag{sub 2}S/HgS nanostructures are successfully synthesized. • The particle size and the structure were confirmed through TEM images. • The absorbance analysis reveals red shift with increasing shell concentration. • A transition from TYPE 1 to TYPE 2 core–shell nanostructure is observed. - Abstract: Here we report on a two-step synthesis route for fabrication of core–shell Ag{sub 2}S/HgS nanostructures. Nanoscale Ag{sub 2}S semiconductors are prepared by a standard redox reaction using AgNO{sub 3} and CS{sub 2} as the reactants in PVP. HgS layers are developed on Ag{sub 2}S cores through S-S bonding at the interface separating the two systems. The properties of these core–shell nanostructures are studied via various spectroscopic and microscopic tools like UV–Vis absorption spectra, photoluminescence spectra, X-ray diffraction pattern and transmission electron microscopic images. Change in optical properties is observed while varying the shell thickness in the sample. A detailed study on the luminescence properties reveal transition from TYPE 1 to TYPE 2 core–shell nanostructures is observed with increasing shell thickness.

36 MATERIALS SCIENCE↗

Experimental observation of the interaction of propagating spin waves with Néel domain walls in a Landau domain structure

The interaction of propagating dipolar spin waves with magnetic domain walls is investigated in square-shaped microstructures patterned from the Heusler compound Co{sub 2}Mn{sub 0.6}Fe{sub 0.4}Si. Using magnetic force microscopy, the reversible preparation of a Landau state with four magnetic domains separated by Néel domain walls is confirmed. A local spin-wave excitation using a microstructured antenna is realized in one of the domains. It is shown by Brillouin light scattering microscopy that the domain structure in the remanence state has a strong influence on the spin-wave excitation and propagation. The domain walls strongly reflect the spin waves and can be used as spin-wave reflectors. A comparison with micromagnetic simulations shows that the strong reflection is due to the long-range dipolar interaction which has important implications for the use of these spin waves for exerting an all-magnonic spin-transfer torque.

71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSIC↗

Graphite-based photovoltaic cells

The present invention uses lithographically patterned graphite stacks as the basic building elements of an efficient and economical photovoltaic cell. The basic design of the graphite-based photovoltaic cells includes a plurality of spatially separated graphite stacks, each comprising a plurality of vertically stacked, semiconducting graphene sheets (carbon nanoribbons) bridging electrically conductive contacts.

Lagally, Max↗

Separating Climate Signals with Machine Learning

To better prepare for future changes in the water cycle, it is vital to understand the regional effects of anthropogenic climate change and internal climate variability on precipitation. With existing methods, there is uncertainty regarding the regional patterns of these climate processes. We propose using machine learning to decompose seasonal total and extreme precipitation (calculated by Risser et. al., 2019) into components caused by each of the following signals: anthropogenic forcing, internal variability, and modes of natural climate variability (such as El Niño/ Southern Oscillation, Atlantic Multidecadal Oscillation, and the Pacific North American teleconnection).

54 ENVIRONMENTAL SCIENCES↗