Design and implementation of the plasma control system Mgr. Filip Janky The COMPASS tokamak was recommissioned in 2007 and it needed new digital controllers for its experimental research. This thesis presents the design and imple- mentation of control of main plasma parameters such as plasma current, plasma position, plasma shape and electron density. Improved plasma current control with resetting set points suppresses overshooting and thus increases the length of the flat top phase. A method for estimating the plasma position, gain tuning for the controller and decreasing latencies and delays to obtain robust position control are presented. Lower delays improve plasma stability and decrease the frequency of disruptions. The plasma shape controller is a feedforward controller with a method to suppress oscillations which are coming from mutual inductance between power supplies controlling plasma horizontal position, plasma shape and plasma current, which all use the same coil. Averaged electron density is corrected in real-time according to the interferometer line of sight and a non-linearity of measurement. Controllers and their improvements described here, played a major role in achiev- ing H-mode scenario and fulfilling the experimental program. Keywords: tokamak, plasma current control, plasma position...

In this thesis, we study the problem of protein side chain assignment (SCA) given multiple sources of experimental and modeling data. In particular, the mechanism of X-ray crystallography (X-ray) is re-examined using Fourier analysis, and a novel probabilistic model of X-ray is proposed for SCA's decision making. The relationship between the measurements in X-ray and the desired structure is reformulated in terms of Discrete Fourier Transform (DFT). The decision making is performed by developing a new resolution-dependent electron density map (EDM) model and applying Maximum Likelihood (ML) estimation, which simply reduces to the Least Squares (LS) solution. Calculation of the condence probability associated with this decision making is also given. One possible extension of this novel model is the real-space refinement when the continuous conformational space is used. Furthermore, we present a data fusion scheme combining multi-sources of data to solve SCA problem. The merit of our framework is the capability of exploiting multi-sources of information to make decisions in a probabilistic perspective based on Bayesian inference. Although our approach aims at SCA problem, it can be easily transplanted to solving for the entire protein structure.

No description available.

The concept of plasma flow control is a relatively new idea based on using atmospheric plasma placed near the edge of an air foil to reduce boundary layer losses. As with any new concept, it is important to be able to quantify theoretical assumptions with known experimental results for validation. Currently there are a variety of experiments being done to better understand plasma flow control, but one particular experiment is through the use of multi-physics modeling of dielectric barrier discharge actuators. The research in this thesis uses optical measurement techniques to validate computational models of flow control actuators being done concurrently at Virginia Tech. The primary focus of this work is to design, build and test plasma actuators in order to determine the plasma characteristics relating to electron temperatures and densities. Using optical measurement techniques such as plasma spectroscopy, measured electron temperatures and densities to compare with theoretical calculations of plasma flow control under a variety of flow conditions. This thesis covers a background of plasma physics, optical measurement techniques, and the designing of the plasma actuator setups used in measuring atmospheric plasmas. / Master of Science

No description available.

Dye sensitized solar cells (DSSCs) have typically been produced using organic liquids such as acetonitrile as the electrolyte solvent. In real world situations water can permeate into the cell through sealing materials and is also likely to be introduced during the fabrication process. This is a problem as the introduction of water into cells optimized to use an organic solvent tends to be detrimental to cell performance. In this work DSSCs which are optimized to use water as the main electrolyte solvent are produced and characterized. Optimization of aqueous DSSCs resulted in cells with efficiencies up to 3.5% being produced. In terms of characterization, it is generally seen in this work that aqueous DSSCs produce a lower photocurrent but similar photovoltage compared to DSSCs made using acetonitrile and reasons for this are examined in detail. The decreased ability of the aqueous electrolyte to wet the nanoporous TiO2 compared to an acetonitrile electrolyte is found to be a key difficulty and several possible solutions to this problem are examined. By measuring the photocurrent output of aqueous cells as a function of xy position it can be seen that there is some dye dissolution near to the electrolyte filling holes. This is thought to be linked to pH and the effect of 4-tert-butylpyridine and may also decrease the photocurrent. It is found that there is little difference between the two types of cells in terms of the conduction band position and the reaction of electrons in the semiconductor with triiodide in the electrolyte, explaining the similarity in photovoltage. By altering the pH of the electrolyte in an aqueous cell it is found to be possible to change the TiO2 conduction band position in the DSSC. This has a significant effect on the open circuit voltage and short circuit current of the cell, though the pH range available is limited by the fact that dye desorbs at high pH values.

La tesis tracta diferents aspectes relacionats amb el càlcul de la semblança quàntica, així com la seva aplicació en la racionalització i predicció de l'activitat de fàrmacs. Es poden destacar dos progressos importants en el desenvolupament de noves metodologies que faciliten el càlcul de les mesures de semblança quàntica. En primer lloc, la descripció de les molècules mitjançant les funciones densitat aproximades PASA (Promolecular Atomic Shell Approximation) ha permès descriure amb suficient precisió la densitat electrònica dels sistemes moleculars analitzats, reduint substancialment el temps de càlcul de les mesures de semblança. En segon lloc, el desenvolupament de tècniques de superposició molecular específiques de les mesures de semblança quàntica ha permès resoldre el problema de l'alineament en l'espai dels compostos comparats. El perfeccionament d'aquests nous procediments i algoritmes matemàtics associats a les mesures de semblança molecular quàntica, ha estat essencial per poder progressar en diferents disciplines de la química computacional, sobretot les relacionades amb les anàlisis quantitatives entre les estructures moleculars i les seves activitats biològiques, conegudes amb les sigles angleses QSAR (Quantitative Structure-Activity Relationships). Precisament en l'àrea de les relacions estructura-activitat s'han presentat dues aproximacions fonamentades en la semblança molecular quàntica que s'originen a partir de dues representacions diferents de les molècules. La primera descripció considera la densitat electrònica global de les molècules i és important, entre altres, la disposició dels objectes comparats en l'espai i la seva conformació tridimensional. El resultat és una matriu de semblança amb les mesures de semblança de tots els parells de compostos que formen el conjunt estudiat. La segona descripció es fonamenta en la partició de la densitat global de les molècules en fragments. S'utilitzen mesures d'autosemblança per analitzar els requeriments bàsics d'una determinada activitat des del punt de vista de la semblança quàntica. El procés permet la detecció de les regions moleculars que són responsables d'una alta resposta biològica. Això permet obtenir un patró amb les regions actives que és d'evident interès per als propòsits del disseny de fàrmacs. En definitiva, s'ha comprovat que mitjançant la simulació i manipulació informàtica de les molècules en tres dimensions es pot obtenir una informació essencial en l'estudi de la interacció entre els fàrmacs i els seus receptors macromoleculars. / There is probably no other concept that contributed to the development of chemistry so remarkably as the ill-defined, qualitative concept of similarity. From the intuitively understood meaning of similarity arises also one of the most powerful chemical principles - the principle of analogy - which in early days of chemistry served as the basis for the classification and systematization of molecules and reactions. The same principle underlies also the widely used idea that similar structures have similar properties which, in turn, is the basis for the existence of various empirical relations between the structure and activity known as QSAR relationships. Because of the fundamental role which similarity plays in so many different situations it is not surprising that its systematic investigation has become the focus of intense scientific interest. Main attention in this respect was devoted to the design of new quantitative measures of molecular similarity. The philosophy underlying the development of quantitative, similarity measures based on quantum theory, arises from the idea that properties of molecules, whether chemical, physical or biological are predetermined by the molecular structure. The rationalization of empirical structure-activity relationships is to considerable extent connected with the recent efforts in the design of new molecular descriptors based on quantum theory. The simplest of such quantities is the electron density function and most of the theoretical molecular descriptors are derived just from this quantity. Among them, a privileged place belongs to the so-called Molecular Quantum Similarity Measures (MQSM). These measures are generally based on the pairwise comparison of electron density functions of the corresponding molecules.This contribution pretends to present an up-to-date revision of Quantum Similarity concepts and their application to QSAR. The general form of MQSM is introduced, and the concrete definitions for practical implementations are specified. Two important topics related to the application of MQSM are discussed: first the Promolecular Atomic Shell Approximation (PASA), a method for fitting first-order molecular density functions for a fast and efficient calculation of the MQSM. Afterwards, a possible solution to the problem of molecular alignment, a determinant procedure in all 3D QSAR methodologies. Finally, the application of Quantum Similarity to QSAR is discussed in detail. Two kind of descriptors derived from molecular quantum similarity theory were used to construct QSAR models: molecular quantum similarity matrices and fragment quantum self-similarity measures. The practical implementation of those ideas has led to the publication of several papers, and finally, to the present work.

No description available.

The thesis entitled “Addressing subtle physicochemical features exhibited by molecular crystals via Experimental and Theoretical Charge Density Analysis” consists of five chapters. An introductory note provides a brief description of experimental and theoretical charge density methodology, followed by its utilization in obtaining certain physical and chemical properties in molecular crystals. Chapter 1 addresses not so easily accessed molecular property arising due to electron conjugation, highlighting antiaromaticity in tetracyclones. A systematic study of six tetracyclone derivatives with electron withdrawing and electron donating substituents has been carried out using experimental and theoretical charge density analysis. A three pronged approach based on quantum theory of atoms in molecules (QTAIM), nucleus independent chemical shifts (NICS), and source function (SF) has been employed to establish the degree of antiaromaticity of the central five-membered ring in all the derivatives. Electrostatic potentials mapped on the is density surface reveal the finer effects of different electron withdrawing and electron donating substituents on the carbonyl group. Chapter 2 presents a temperature induced reversible first order single crystal to single crystal phase transition (Room temperature Orthorhombic, P22121 to low temperature Monoclinic, P21) in a  hybrid peptide, Boc-γ4(R)Val-Val-OH. The thermal behavior accompanying the phase transition of the dipeptide crystal was characterized by differential scanning calorimetry, visual changes in birefringence of the sample during heating and cooling cycles on a hot-stage microscope with polarized light. Variable-temperature unit cell check measurements from 300 to 100 K showed discontinuity in the volume and cell parameters near the transition temperature, supporting the first-order behavior. The reversible nature of the phase transition is traced to be due to an interplay between enthalpy and entropy. Chapter 3 brings out an unusual stabilizing interaction involving a cooperative -hole and ¬hole character in a short NCS···NCS bond. This chapter describes structural features of four isothiocyanate derivatives, FmocXCH2NCS; X=Leu, Ile, Val and Ala. Among these it is observed that only FmocLeuCH2NCS which crystallizes in a tetragonal space group, P41, (a=b=12.4405(5) Å; c= 13.4141(8) Å) transforms isomorphously to a low temperature form, P41, (a=b=17.4665(1) Å; c= 13.1291(1) Å). The characteristics of the phase transition have been monitored by Differential Scanning Calorimetry, variable temperature IR and temperature dependent unit cell measurements. The short NCS···NCS intermolecular interaction (3.296(1) Å) is analyzed based on detailed experimental charge density analysis which reveals the nature of this stabilizing interaction. Chapter 4 explains a comparative study of syn and anti conformations of carboxylic acids in peptides from both structural aspect and charge density features. Single crystal structures of four peptides having syn conformations [BocLeuγ4(R)Valγ4(R)ValOH, BocLeuγ4(R)ValLeuγ4(R)ValOH, Boc3(S)Leu3(S)LeuOH] and one with anti conformation, BocLeuγ4(R)ValValOH have been analyzed. Experimental charge density analysis has been carried out exclusively on BocLeuγ4(R)ValValOH having anti form, because of its rare occurrence in literature. However, low temperature datasets on the four peptides with syn conformations were collected and theoretical charge density analysis has been carried out on two of these compounds. Electrostatic potentials mapped on is density surface bring out a significant difference at the oxygen atoms of the carboxyl group in the two conformations. However, lone pair orientation of different types of Oxygen atoms in the two forms (urethane, amide, acid) doesn’t exclusively indicate the differences in the corresponding charge density features. Chapter 5 addresses the issue of how sensitive are the charge density features associated with amino acid residues when the backbone conformational angles are varied. Three model systems, 1, L-alanyl–L-alanyl–L-alanine dehydrate; 2, anhydrous L-alanyl–L-alanyl–L¬alanine and 3, cyclo-(D,L-Pro)2(L-Ala)4 monohydrate have been chosen for this evaluation. Compound 1 has ant parallel alignment of tripe tide strands, and compound 2 has parallel alignment. All the alanine residues in compound 1 and 2 are in the -sheet region of the Ramachandran plot, whereas, the four Alanine residues in the cyclic hex peptide 3 span different regions of the Ramachandran plot. Theoretical multipole modelling has been carried out in order to explore the plausibility of transferring multipole parameters across different regions of Ramachandran Plot. Appendix I contains a brief description of charge shift bonding in Ph-CH2-Se-Se-CH2-Ph, as determined based on both experimental and theoretical charge density analysis. Appendix II contains a reprint of a published article on “Conformation-Changing Aggregation in Hydroxyacetone: A Combined Low-Temperature FTIR, Jet, and Crystallographic Study”.

The presence of the ordered $\gamma^{\prime}$ phase ($\text{Ni}_{3}\text{Al}$) in Ni-base superalloys is fundamental to the performance of engineering components such as turbine disks and blades which operate at high temperatures and loads. Hence for these alloys it is important to optimize their microstructure and phase composition. This is typically done by varying their chemistry and heat treatment to achieve an appropriate balance between $\gamma^{\prime}$ content and other constituents such as carbides, borides, oxides and topologically close packed phases. In this work we have set out to investigate the onset of $\gamma^{\prime}$ ordering in Ni-Al single crystals and in Ni-Al bicrystals containing coincidence site lattice grain boundaries (GBs) and we do this at high temperatures, which are representative of typical heat treatment schedules including quenching and annealing. For this we use the atomistic simulation methods of molecular dynamics (MD) and density functional theory (DFT). In the first part of this work we develop robust Bayesian classifiers to identify the $\gamma^{\prime}$ phase in large scale simulation boxes at high temperatures around 1500 K. We observe significant \gamma^{\prime} ordering in the simulations in the form of clusters of $\gamma^{\prime}$-like ordered atoms embedded in a $\gamma$ host solid solution and this happens within 100 ns. Single crystals are found to exhibit the expected homogeneous ordering with slight indications of chemical composition change and a positive correlation between the Al concentration and the concentration of $\gamma^{\prime}$ phase. In general, the ordering is found to take place faster in systems with GBs and preferentially adjacent to the GBs. The sole exception to this is the $\Sigma3 \left(111\right)$ tilt GB, which is a coherent twin. An analysis of the ensemble and time lag average displacements of the GBs reveals mostly `anomalous diffusion' behaviour. Increasing the Al content from pure Ni to Ni 20 at.% Al was found to either consistently increase or decrease the mobility of the GB as seen from the changing slope of the time lag displacement average. The movement of the GB can then be characterized as either `super' or `sub-diffusive' and is interpreted in terms of diffusion induced grain boundary migration, which is posited as a possible precursor to the appearance of serrated edge grain boundaries. In the second part of this work we develop a method for the training of empirical interatomic potentials to capture more elements in the alloy system. We focus on the embedded atom method (EAM) and use the Ni-Al system as a test case. Recently, empirical potentials have been developed based on results from DFT which utilize energies and forces, but neglect the electron densities, which are also available. Noting the importance of electron densities, we propose a route to include them into the training of EAM-type potentials via Bayesian linear regression. Electron density models obtained for structures with a range of bonding types are shown to accurately reproduce the electron densities from DFT. Also, the resulting empirical potentials accurately reproduce DFT energies and forces of all the phases considered within the Ni-Al system. Properties not included in the training process, such as stacking fault energies, are sometimes not reproduced with the desired accuracy and the reasons for this are discussed. General regression issues, known to the machine learning community, are identified as the main difficulty facing further development of empirical potentials using this approach.