Preparation of Ag/Co/Ag Trilayers

Bakalářská práce je věnována přípravě a studiu ultratenkých vrstev stříbra a kobaltu. Z těchto materiálů jsou tvořeny vrstvy na křemíkových substrátech. Substráty tvoří povrchově upravený krystalický křemík (SiO2/Si(111), Si(111) ?H, Si(111) 7×7) a amorfní SiO2 ve formě křemenného skla. Růst vrstev je prováděn pomocí epitaxe molekulárním svazkem (MBE) za využití efuzní cely. Na vzorek připravený z uvedených substrátů je postupně deponována vrstva stříbra, poté kobaltu a stříbra. Tloušťka každé vrstvy je 6 nm. Vrstvy jsou studovány užitím metod rentgenové fotoelektronové spektroskopie (XPS) a mikroskopie atomárních sil (AFM). Typ růstu vrstvy se zásadně liší u různých povrchových úprav substrátu. Výsledkem jsou připravené trojvrstvy Ag/Co/Ag na SiO2/Si(111) a Si(111) 7×7, které lze využít v oblasti plazmoniky a lze magnetickým polem ovlivnit chování povrchových plazmonových polaritonů.The Bachelor's thesis is aimed to the preparation of silver and cobalt ultrathin films. The films are formed on modified surfaces of crystalline silicon substrates (SiO2/Si(111), Si(111) ?H, Si(111) 7×7) and amorphous SiO2 in a form of a quartz glass. Thin films are grown using an effusion cell for Molecular Beam Epitaxy (MBE). Surface modified surfaces are covered subsequently by a silver, cobalt and silver thin layer. The individual film thickness is 6 nm. Consequently the samples are studied by the X-ray Photoelectron Spectroscopy (XPS) and the Atomic Force Microscopy (AFM). The morphology of thin films and growth modes are compared among the substrates. Growth modes change with the surface modification type. Complete trilayer system Ag/Co/Ag was prepared on SiO2/Si(111) and Si(111) 7×7. Such system can be employed in plasmonics in order to allow the control of surface plasmon polariton properties by an external magnetic field.

An a posteriori error estimate for the Stokes-Brinkman problem in a polygonal domain

summary:We derive a residual based a posteriori error estimate for the Stokes-Brinkman problem on a two-dimensional polygonal domain. We use Taylor-Hood triangular elements. The link to the possible information on the regularity of the problem is discussed

An application of the BDDC method to the Navier-Stokes equations in 3-D cavity

summary:We deal with numerical simulation of incompressible flow governed by the Navier-Stokes equations. The problem is discretised using the finite element method, and the arising system of nonlinear equations is solved by Picard iteration. We explore the applicability of the Balancing Domain Decomposition by Constraints (BDDC) method to nonsymmetric problems arising from such linearisation. One step of BDDC is applied as the preconditioner for the stabilized variant of the biconjugate gradient (BiCGstab) method. We present results for a 3-D cavity problem computed on 32 cores of a parallel supercomputer

Numerical comparison of different choices of interface weights in the BDDC method

summary:Balancing Domain Decomposition by Constraints (BDDC) belongs to the class of primal substructuring Domain Decomposition (DD) methods. DD methods are iterative methods successfully used in engineering to parallelize solution of large linear systems arising from discretization of second order elliptic problems. Substructuring DD methods represent an important class of DD methods. Their main idea is to divide the underlying domain into nonoverlapping subdomains and solve many relatively small, local problems on subdomains instead of one large problem on the whole domain. In primal methods, it has to be specified how to distribute interface residuals among subdomains and how to obtain global, interface values of solution from local values on adjacent subdomains. Usually a weighted average is used with some simple choice of weights. In our paper we present numerical comparison of three different choices of interface weights on test problem of 2D Poisson equation, with and without jumps in coefficients

Mining Linguistic Associations for Emergent Flood Prediction Adjustment

Floods belong to the most hazardous natural disasters and their disaster management heavily relies on precise forecasts. These forecasts are provided by physical models based on differential equations. However, these models do depend on unreliable inputs such as measurements or parameter estimations which causes undesirable inaccuracies. Thus, an appropriate data-mining analysis of the physical model and its precision based on features that determine distinct situations seems to be helpful in adjusting the physical model. An application of fuzzy GUHA method in flood peak prediction is presented. Measured water flow rate data from a system for flood predictions were used in order to mine fuzzy association rules expressed in natural language. The provided data was firstly extended by a generation of artificial variables (features). The resulting variables were later on translated into fuzzy GUHA tables with help of Evaluative Linguistic Expressions in order to mine associations. The found associations were interpreted as fuzzy IF-THEN rules and used jointly with the Perception-based Logical Deduction inference method to predict expected time shift of flow rate peaks forecasted by the given physical model. Results obtained from this adjusted model were statistically evaluated and the improvement in the forecasting accuracy was confirmed

Measurement the thermal profile of steelmaking ladle with subsequent evaluation the reasons of lining damage

Based on the operational measurement, of which content was to determine ladle thermal profile, there were analysed causes of possible damage of lining in steel ladles by steel breakout through the ladle shell. There exists connection between thermal state of ladle lining during the operation and its lifetime. There were reached to the conclusion that the cause of failure in the lining of ladle is except for high temperature of bath, also wide interval of temperature change during the tap operation, in consequence with possible insufficient pre-heating of ladle, discontinuous operation of aggregate and damage of insulating lining layer, respectively deformation of ladles shell.Web of Science61128227

Research of thermal processes for the continuous casting of steel

The article deals with the determination of the basic indicators of heat transfer in the continuous casting of steel, which can be described as an unsteady process with complicated boundary conditions for the solution. An analytical solution of this problem is practically impossible and, therefore, mathematical modelling is applied with a certain simplification of the real conditions and with a description of those criteria that influence the most the process of solidification and cooling. Using a simulation program and the knowledge of input parameters, it was possible to predict the distribution of the thermal field of a continuously cast blank in the course of its casting. Simulations also allowed us to deal with the issues of the inner structure, surface quality, mechanical properties of a continuously cast blank, metallurgical length, change in the thickness of a strand shell and overheating of steel. Some results obtained with numerical simulations are documented for concrete examples.Web of Science47681881

Expression patterns of microRNAs associated with CML phases and their disease related targets

<p>Abstract</p> <p>Background</p> <p>MicroRNAs are important regulators of transcription in hematopoiesis. Their expression deregulations were described in association with pathogenesis of some hematological malignancies. This study provides integrated microRNA expression profiling at different phases of chronic myeloid leukemia (CML) with the aim to identify microRNAs associated with CML pathogenesis. The functions of <it>in silico </it>filtered targets are in this report annotated and discussed in relation to CML pathogenesis.</p> <p>Results</p> <p>Using microarrays we identified differential expression profiles of 49 miRNAs in CML patients at diagnosis, in hematological relapse, therapy failure, blast crisis and major molecular response. The expression deregulation of miR-150, miR-20a, miR-17, miR-19a, miR-103, miR-144, miR-155, miR-181a, miR-221 and miR-222 in CML was confirmed by real-time quantitative PCR. <it>In silico </it>analyses identified targeted genes of these miRNAs encoding proteins that are involved in cell cycle and growth regulation as well as several key signaling pathways such as of mitogen activated kinase-like protein (MAPK), epidermal growth factor receptor (EGFR, ERBB), transforming growth factor beta (TGFB1) and tumor protein p53 that are all related to CML. Decreased levels of miR-150 were detected in patients at diagnosis, in blast crisis and 67% of hematological relapses and showed significant negative correlation with miR-150 proved target <it>MYB </it>and with <it>BCR-ABL </it>transcript level.</p> <p>Conclusions</p> <p>This study uncovers microRNAs that are potentially involved in CML and the annotated functions of <it>in silico </it>filtered targets of selected miRNAs outline mechanisms whereby microRNAs may be involved in CML pathogenesis.</p