Relevant bibliographies by topics / Paire of Distribution Function

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Paire of Distribution Function'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Paire of Distribution Function"

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YONEDA, Yasuhiro. "Atomic Pair Distribution Function (PDF) Analysis of Ferroelectric Materials." Nihon Kessho Gakkaishi 54, no. 3 (2012): 155–58. http://dx.doi.org/10.5940/jcrsj.54.155.

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Tarasov, Vasily E. "Nonlocal Probability Theory: General Fractional Calculus Approach." Mathematics 10, no. 20 (October 17, 2022): 3848. http://dx.doi.org/10.3390/math10203848.

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Nonlocal generalization of the standard (classical) probability theory of a continuous distribution on a positive semi-axis is proposed. An approach to the formulation of a nonlocal generalization of the standard probability theory based on the use of the general fractional calculus in the Luchko form is proposed. Some basic concepts of the nonlocal probability theory are proposed, including nonlocal (general fractional) generalizations of probability density, cumulative distribution functions, probability, average values, and characteristic functions. Nonlocality is described by the pairs of Sonin kernels that belong to the Luchko set. Properties of the general fractional probability density function and the general fractional cumulative distribution function are described. The truncated GF probability density function, truncated GF cumulative distribution function, and truncated GF average values are defined. Examples of the general fractional (GF) probability distributions, the corresponding probability density functions, and cumulative distribution functions are described. Nonlocal (general fractional) distributions are described, including generalizations of uniform, degenerate, and exponential type distributions; distributions with the Mittag-Leffler, power law, Prabhakar, Kilbas–Saigo functions; and distributions that are described as convolutions of the operator kernels and standard probability density.
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Modarres, Reza. "Estimating the distribution function of symmetric pairs." Communications in Statistics - Theory and Methods 46, no. 4 (March 16, 2016): 1843–54. http://dx.doi.org/10.1080/03610926.2015.1030421.

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Hansen, Niels Richard. "Asymptotics for local maximal stack scores with general loop penalty function." Advances in Applied Probability 39, no. 3 (September 2007): 776–98. http://dx.doi.org/10.1239/aap/1189518638.

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A stack is a structural unit in an RNA structure that is formed by pairs of hydrogen bonded nucleotides. Paired nucleotides are scored according to their ability to hydrogen bond. We consider stack/hairpin-loop structures for a sequence of independent and identically distributed random variables with values in a finite alphabet, and we show how to obtain an asymptotic Poisson distribution of the number of stack/hairpin-loop structures with a score exceeding a high threshold, given that we count in a proper, declumped way. From this result we obtain an asymptotic Gumbel distribution of the maximal stack score. We also provide examples focusing on the computation of constants that enter in the asymptotic distributions. Finally, we discuss the close relation to existing results for local alignment.
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Hansen, Niels Richard. "Asymptotics for local maximal stack scores with general loop penalty function." Advances in Applied Probability 39, no. 03 (September 2007): 776–98. http://dx.doi.org/10.1017/s0001867800002044.

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A stack is a structural unit in an RNA structure that is formed by pairs of hydrogen bonded nucleotides. Paired nucleotides are scored according to their ability to hydrogen bond. We consider stack/hairpin-loop structures for a sequence of independent and identically distributed random variables with values in a finite alphabet, and we show how to obtain an asymptotic Poisson distribution of the number of stack/hairpin-loop structures with a score exceeding a high threshold, given that we count in a proper, declumped way. From this result we obtain an asymptotic Gumbel distribution of the maximal stack score. We also provide examples focusing on the computation of constants that enter in the asymptotic distributions. Finally, we discuss the close relation to existing results for local alignment.
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Saboor, Abdus, Hassan S. Bakouch, Fernando A. Moala, and Sheraz Hussain. "Properties and methods of estimation for a bivariate exponentiated Fréchet distribution." Mathematica Slovaca 70, no. 5 (October 27, 2020): 1211–30. http://dx.doi.org/10.1515/ms-2017-0426.

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AbstractIn this paper, a bivariate extension of exponentiated Fréchet distribution is introduced, namely a bivariate exponentiated Fréchet (BvEF) distribution whose marginals are univariate exponentiated Fréchet distribution. Several properties of the proposed distribution are discussed, such as the joint survival function, joint probability density function, marginal probability density function, conditional probability density function, moments, marginal and bivariate moment generating functions. Moreover, the proposed distribution is obtained by the Marshall-Olkin survival copula. Estimation of the parameters is investigated by the maximum likelihood with the observed information matrix. In addition to the maximum likelihood estimation method, we consider the Bayesian inference and least square estimation and compare these three methodologies for the BvEF. A simulation study is carried out to compare the performance of the estimators by the presented estimation methods. The proposed bivariate distribution with other related bivariate distributions are fitted to a real-life paired data set. It is shown that, the BvEF distribution has a superior performance among the compared distributions using several tests of goodness–of–fit.
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Fritzsch, B., and A. Zehe. "Distribution function of donor-acceptor pairs in nipi-structures." Superlattices and Microstructures 12, no. 1 (January 1992): 43–46. http://dx.doi.org/10.1016/0749-6036(92)90217-s.

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Rea, H. J., R. Sung, J. R. Corney, D. E. R. Clark, and N. K. Taylor. "Interpreting Three-Dimensional Shape Distributions." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 219, no. 6 (June 1, 2005): 553–66. http://dx.doi.org/10.1243/095440605x31427.

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Effective content-based shape retrieval systems would allow engineers to search databases of three-dimensional computer-aided design (CAD) models for objects with specific geometries or features. Much of the academic work in this area has focused on the development of indexing schemes based on different types of three-dimensional to two-dimensional ‘shape functions’. Ideally, the shape function used to generate a distribution should be easy to compute and permit the discrimination of both large and small features. The work reported in this paper describes the properties of three new shape distributions based on computationally simple shape functions. The first shape function calculates the arithmetic difference between distributions derived (using the original D2 distance shape function) from both a three-dimensional model and its convex hull. The second shape function is obtained by sampling the angle between random pairs of facets on the object. The third shape function uses the surface orientation to filter the results of a distance distribution. The results reported in this paper suggest that these novel shape functions improve significantly the ability of shape distributions to discriminate between complex engineering parts.
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Chen, L. F., and S. R. Liang. "A Modified Pulsar Model Green Function Period Distribution." Symposium - International Astronomical Union 125 (1987): 62. http://dx.doi.org/10.1017/s0074180900160486.

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The downward accelerated e− in the “unfavorable” zone, like that in the “favorable” one, will emit γ-photons, which in turn convert into e± pairs in some places near the surface of stars. But what happens, which is different from that in the “favorable” zone, is that some γ-photons will travel through a long distance before their conversion. This makes it possible that some γ-photons arrive at the “diode” district in the “favorable” zone. The magnetic conversion of pairs is much easier to happen than that occured in the “favorable” zone, where the γ-photons are created by the primary e− beam. The existence of dense e± plasma near the surface of stars makes the E, vanish at places where such plasma is present.
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Klein, Ingo, and Monika Doll. "(Generalized) Maximum Cumulative Direct, Residual, and Paired Φ Entropy Approach." Entropy 22, no. 1 (January 12, 2020): 91. http://dx.doi.org/10.3390/e22010091.

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A distribution that maximizes an entropy can be found by applying two different principles. On the one hand, Jaynes (1957a,b) formulated the maximum entropy principle (MaxEnt) as the search for a distribution maximizing a given entropy under some given constraints. On the other hand, Kapur (1994) and Kesavan and Kapur (1989) introduced the generalized maximum entropy principle (GMaxEnt) as the derivation of an entropy for which a given distribution has the maximum entropy property under some given constraints. In this paper, both principles were considered for cumulative entropies. Such entropies depend either on the distribution function (direct), on the survival function (residual) or on both (paired). We incorporate cumulative direct, residual, and paired entropies in one approach called cumulative Φ entropies. Maximizing this entropy without any constraints produces an extremely U-shaped (=bipolar) distribution. Maximizing the cumulative entropy under the constraints of fixed mean and variance tries to transform a distribution in the direction of a bipolar distribution, as far as it is allowed by the constraints. A bipolar distribution represents so-called contradictory information, which is in contrast to minimum or no information. In the literature, to date, only a few maximum entropy distributions for cumulative entropies have been derived. In this paper, we extended the results to well known flexible distributions (like the generalized logistic distribution) and derived some special distributions (like the skewed logistic, the skewed Tukey λ and the extended Burr XII distribution). The generalized maximum entropy principle was applied to the generalized Tukey λ distribution and the Fechner family of skewed distributions. Finally, cumulative entropies were estimated such that the data was drawn from a maximum entropy distribution. This estimator will be applied to the daily S&P500 returns and time durations between mine explosions.
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Dissertations / Theses on the topic "Paire of Distribution Function"

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Lucas, Tim. "Pair distribution function studies of inorganic materials under extreme conditions." Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4630/.

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This study concentrates on pair distribution function (PDF) analysis of various related systems under extreme conditions using variable temperatures and pressures. The local structure of BaTiO\(_3\) (BTO) was investigated using x-rays (xPDF) between 0 and 8.78 GPa and x-rays and neutrons (nPDF) between 100 and 500K. Evidence is presented that indicates that the “Comes model” of Ti disorder is too simplistic to describe the local structure of BTO at variable temperature but results from the high pressure xPDF study are inconclusive due to the inability to observe the very weak first Ti-O peak. The ambient structure of related Ba\(_1\)\(_-\)\(_x\)Bi\(_x\)Ti\(_1\)\(_-\)\(_x\)Yb\(_x\)O\(_3\) was also investigated using both nPDF and xPDF between x = 0 and 0.15, with PDFs indicating significant local disorder present on both A and B sites. Cubic ZrMo\(_2\)O\(_7\) undergoes pressure induced amorphisation at ~0.7 GPa and this was investigated up to 11.02 GPa using xPDF which showed an increase in Mo coordination with pressure but no significant change around Zr. Iron undergoes a bcc-hcp phase transition between 10 and 20 GPa and xPDF was used to investigate this phase transition and the local structure of the hcp phase up to 50.07 GPa, but texture in the sample at high pressures hindered analysis.
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Martinez-Inesta, Maria M. "Pair distribution function as a probe for disorder in molecular sieves." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.69 Mb., 260 p, 2005. http://proquest.umi.com/pqdlink?did=1037889231&Fmt=7&clientId=8331&RQT=309&VName=PQD.

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Takahashi, Masakuni. "Elucidation of the Dominant Factor in Electrochemical Materials Using Pair Distribution Function Analysis." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263748.

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京都大学
新制・課程博士
博士(人間・環境学)
甲第23287号
人博第1002号
京都大学大学院人間・環境学研究科相関環境学専攻
(主査)教授 内本 喜晴, 教授 田部 勢津久, 准教授 戸﨑 充男
学位規則第4条第1項該当
Doctor of Human and Environmental Studies
Kyoto University
DFAM
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Masadeh, Ahmad Salah. "Quantitative structure determination of nanostructured materials using the atomic pair distribution function analysis." Diss., Connect to online resource - MSU authorized users, 2008.

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Brickman, Larry A. "Numerical evaluation of the pair-distribution function of dilute suspensions at high Péclet number." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/11305.

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Zheng, Lianqing. "Statistical identification of metabolic reactions catalyzed by gene products of unknown function." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/15594.

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Doctor of Philosophy
Department of Statistics
Gary L. Gadbury
High-throughput metabolite analysis is an approach used by biologists seeking to identify the functions of genes. A mutation in a gene encoding an enzyme is expected to alter the level of the metabolites which serve as the enzyme’s reactant(s) (also known as substrate) and product(s). To find the function of a mutated gene, metabolite data from a wild-type organism and a mutant are compared and candidate reactants and products are identified. The screening principle is that the concentration of reactants will be higher and the concentration of products will be lower in the mutant than in wild type. This is because the mutation reduces the reaction between the reactant and the product in the mutant organism. Based upon this principle, we suggest a method to screen the possible lipid reactant and product pairs related to a mutation affecting an unknown reaction. Some numerical facts are given for the treatment means for the lipid pairs in each treatment group, and relations between the means are found for the paired lipids. A set of statistics from the relations between the means of the lipid pairs is derived. Reactant and product lipid pairs associated with specific mutations are used to assess the results. We have explored four methods using the test statistics to obtain a list of potential reactant-product pairs affected by the mutation. The first method uses the parametric bootstrap to obtain an empirical null distribution of the test statistic and a technique to identify a family of distributions and corresponding parameter estimates for modeling the null distribution. The second method uses a mixture of normal distributions to model the empirical bootstrap null. The third method uses a normal mixture model with multiple components to model the entire distribution of test statistics from all pairs of lipids. The argument is made that, for some cases, one of the model components is that for lipid pairs affected by the mutation while the other components model the null distribution. The fourth method uses a two-way ANOVA model with an interaction term to find the relations between the mean concentrations and the role of a lipid as a reactant or product in a specific lipid pair. The goal of all methods is to identify a list of findings by false discovery techniques. Finally a simulation technique is proposed to evaluate properties of statistical methods for identifying candidate reactant-product pairs.
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Batchellor, Adam. "STRUCTURE-ACTIVITY RELATIONSHIPS IN NI-FE (OXY)HYDROXIDE OXYGEN EVOLUTION ELECTROCATALYSTS." Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22268.

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The oxygen evolution reaction (OER) is kinetically slow and hence a significant efficiency loss in electricity-driven water electrolysis. Understanding the relationships between architecture, composition, and activity in high-performing catalyst systems are critical for the development of better catalysts. This dissertation discusses areas both fundamental and applied that seek to better understand how to accurately measure catalyst activity as well as ways to design higher performing catalysts. Chapter I introduces the work that has been done in the field to date. Chapter II compares various methods of determining the electrochemically active surface area of a film. It further discusses how pulsed and continuous electrodepostition techniques effect film morphology and behavior, and shows that using a simple electrodeposition can create high loading films with architectures that outperform those deposited onto inert substrates. The reversibility of the films, a measure of the films transport efficiency, is introduced and shown to correlate strongly with performance. Chapter III uses high energy x-ray scattering to probe the nanocrystalline domains of the largely amorphous NiFe oxyhydroxide catalysts, and shows that significant similarities in the local structure are not responsible for the change in performance for the films synthesized under different conditions. Bond lengths for oxidized and reduced catalysts are determined, and show no significant phase segregation occurs. Chapter IV seeks to optimize the deposition conditions introduced in Chapter II and to provide a physical representation of how tuning each of the parameters affects film morphology. The deposition current density is shown to be the most important factor affecting film performance at a given loading. Chapter V highlights the different design considerations for films being used in a photoelectrochemical cell, and how in situ techniques can provide information that may otherwise be unobtainable. Chapter VI serves as a summary and provides future directions. This dissertation contains previously published coauthored material.
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Ellezam, Laura. "Dopage (Co/Fe) de nanoparticules de RuO2 : synthèse, modélisation et caractérisation structurale." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS304.

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Ce travail concerne l’analyse complète des nanoparticules (NPs) de RuO2 dopées au Co ou au Fe. Le défi ici réside dans la taille des systèmes, comprise entre 1 et 2,5nm. Les synthèses sont réalisées par trois voies différentes de chimie douce en solvant aqueux : la voie sol-gel, hydrothermale, et co-précipitation. Le Fe se substitue facilement au Ru, le Co plus difficilement. À l’issue de l’étude de ces méthodes de synthèse, des NPs dopées au Co et au Fe ont été synthétisées. Afin de les caractériser et de comprendre l’influence, notamment structurale, des dopants, les calculs DFT et la caractérisation par l’étude de la fonction de distribution de paires atomiques (PDF) ont été couplés. La construction de modèle bulk puis des modèles de NPs ont été construits et optimisés. Les études de localisation des dopants montrent qu’ils se concentrent préférentiellement en surface, éloignés par des atomes de Ru dans le cas d’un nombre très faible d’atome. En augmentant le nombre d’atomes dopants, une étude préliminaire suggère un regroupement de surface des atomes dopants. À partir de ces modèles, des PDFs sont calculées et comparées aux PDFs expérimentales des NPs synthétisées. Ainsi il est possible d’attribuer en détail les PDFs expérimentales et de décrire l’arrangement local des NPs dopées ainsi que de valider les modèles DFT. Il a donc été mis en place un protocole de caractérisation permettant de décrire l’arrangement locale et de démontrer le dopage, dans des NPs de moins de 5 nm en utilisant la DFT et l’analyse PDF, avec confirmation par des analyses STEM-HAADF-EELS
The aim of this work is the full analysis of RuO2 nanoparticles (NPs) doped with Co or Fe. This is a big challenge because of the size of these systems (1.0 - 2.5 nm). Synthesis were conducted by three different aqueous pathways at low temperature: via sol-gel, hydrothermal and by co-precipitation methods. Fe atoms replaces easily Ru, whereas it is more difficult for Co. Several parameters had to be changed to obtain a successful doping. In order to characterize the local structure of Co or Fe-doped RuO2 nanoparticles, and understand the structural modifications, a coupling between modelling with DFT calculation and analysis by Pair Distribution Function (PDF) was set up. First a bulk model and after a NP model was built and optimized by DFT. It was seen that numerous doping atoms tend to be localized at the surface of the NPs whereas it is more thermodynamically stable to have a good dispersion when the number of doping atom is smaller. From these DFT model, PDF curves were calculated and compared with experimental PDF curves. These comparisons allow to identify the rutile structure, describe the local structure, and to validate DFT models. It also allows the attribution of distances in the structure and shows the need to consider specifically the surface modifications. This PDF/DFT conclusions were validated by high level STEM-HAADF-EELS analysis
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Wood, Suzannah. "Understanding the Formation of Kinetically Stable Compounds and the Development of Thin Film Pair Distribution Function Analysis." Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22645.

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Navigating the synthesis landscape poses many challenges when developing novel solid state materials. Advancements in both synthesis and characterization are necessary to facilitate the targeting of specific materials. This dissertation discusses the formation of chalcogenide heterostructures and their properties in the first part and the development of thin film pair distribution function analysis (tfPDF) in the second part. The heterostructures were formed by the self-assembly of designed precursors deposited by physical vapor deposition in a modulated elemental reactants approach, which provides the control and predictability to synthesis. Specifically, a series of (BiSe)1+δ(TiSe2)n, where n = 2,3,&4, were synthesized to explore the extent of charge transfer from the BiSe to TiSe2 layers. To further explore the role Bi plays in charge donation, a family of structurally similar compounds, (BixSn1-xSe)1+TiSe2 , where 0≥x≥1, were synthesized and characterized. Electrical measurements show doping efficiency decreases as x increases, correlated with the structural distortion and the formation of periodic antiphase boundaries containing Bi-Bi pairs. The first heterostructures composed of three unique structural types were synthesized and Bi2Se3 layer thickness was used to tune electrical properties and further explore charge transfer. To better understand the potential energy landscape on which these kinetically stable compounds exist, two investigations were undertaken. The first was a study of the formation and subsequent decomposition of [(BiSe)1+δ]n(TiSe2)n compounds, where n= 2&3, the second an investigation of precursor structure for thermodynamically stable FeSb2 and kinetically stable FeSb3. The second section describes the development of thin film pair distribution function analysis, a technique in which total scattering data for pair distribution function (PDF) analysis is obtained from thin films, suitable for local structure analysis. This study illustrates how analysis of the local structure in amorphous precursor films can help to understand the crystallization processes of metastable phases and enables a range of new local structure studies of thin films. tfPDF was then demonstrated on In-Ga-O film materials and compared to traditional powder PDF analysis. This highlights differences between the products, and the utility of tfPDF to determined structural features of amorphous materials. This dissertation includes previously published and unpublished co-authored materials.
10000-01-01
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Owen, Lewis Robert. "The analysis of local structural effects in alloys using total scattering and reverse Monte Carlo techniques." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/273748.

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Over the years `short-range order' (SRO), whereby the local atomic arrangement differs from that of a random distribution, has been used to explain physical phenomena such as thermodynamic discontinuities, increased strength, anomalous electrical resistivity and magnetic variations in a host of alloys. However, due mainly to experimental difficulties and the complexity of the calculations required for the analysis of diffuse scattering, such work has been largely abandoned and hence quantification and assessment of SRO is notably sparse in the literature. The recent development of reverse Monte-Carlo (RMC) methods for the analysis of total scattering data has opened a promising route for the assessment of a material's local environment and has already provided important insights into a host of complex chemical systems, including liquids, network glasses, nano-materials, functional oxides and metal organic frameworks. The work presented in this thesis focuses on the development of a new methodology for the analysis of local structural effects in metallic systems using total scattering, and the first systematic application to the study of alloys. The simulation of total scattering data from a range of model structures is used to show that the information content of total scattering functions, in particular the pair distribution function (PDF), is sufficiently high to allow the assessment of different types and degrees of short-range order. This is supported by a demonstration of how such orders can be quantified from large box models, produced by fitting total scattering data using the RMC algorithm, with the mathematical analyses outlined. This culminates in a proposed methodology for the analysis of SRO in alloys. Having developed this analytical methodology it is subsequently applied to a number of interesting alloy systems. To demonstrate the efficacy of this methodology it was first applied to the study of a sample of Cu$_{3}$Au - the classically cited case example of a system demonstrating SRO prior to an ordering transition. This experiment provides new insight into this well characterised transition, and also demonstrates the significance of data processing errors on the generation of artefacts in large box modelling. The technique is also applied to the study of the industrially important family of nickel superalloys, assessing ordering in the gamma-phase alloy Ni-Cr and the sublattice orderings occurring in L1$_{2}$ alloys. Next, the use of the technique for the analysis of local strains exhibited in a lattice is presented. A series of models is used to demonstrate how the PDF is expected to change under variations in local strain caused by increased concentration of atomic substitution and variation in atomic radii. This is subsequently used to study the characteristic high-entropy alloy (HEA) CrMnFeCoNi. Through analysis of the PDF, it is demonstrated that the level of local strain exhibited in this alloy is not significantly different from those of other related compositionally simpler alloys. This result is highly significant as it challenges one of the core principles of the field - that the lattices of HEAs are necessarily highly strained. Finally, the energetics of ordering reactions are briefly considered and used to justify some of the observed transformations presented in the earlier work. Together, the body of work in this thesis shows how the total scattering technique can be used to provide valuable insight into a host of interesting local phenomena occurring in alloy systems. It is hoped that this will open up a new field of study into these effects, and ultimately guide the creation of new alloys based on these structure-property relationships.
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Books on the topic "Paire of Distribution Function"

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Yildirim, Cem Yalcin. Zeta function theory: Pair correlation and value distribution. Toronto: [s.n.], 1990.

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Banerjee, Soham. Improved modeling of nanocrystals from atomic pair distribution function data. [New York, N.Y.?]: [publisher not identified], 2020.

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Gong, Zizhou. Muon Spin Relaxation Study of MnGe and Development of Pair Distribution Function Methods. [New York, N.Y.?]: [publisher not identified], 2018.

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Shi, Chenyang. Local structure and lattice dynamics study of low dimensional materials using atomic pair distribution function and high energy resolution inelastic x-ray scattering. [New York, N.Y.?]: [publisher not identified], 2015.

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Local Structural Insights into Exotic Electronic States in 𝓭- and 𝑓-Electron Oxides with Joint Neutron and X-ray Pair Distribution Function Analysis. [New York, N.Y.?]: [publisher not identified], 2021.

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Ivan, Izquierdo, and Medina Jorge, eds. Naturally occurring benzodiazepines: Structure, distribution, and function. New York: Ellis Horwood, 1993.

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Flowerdew, John. Definitions in science lectures: Distribution, function and form. Hong Kong: City Polytechnic of Hong Kong, 1992.

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Churnside, James H. Probability density function of optical scintillations (scintillation distribution). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1989.

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Nussbaum, Martha Craven. Nature, function, and capability: Aristotle on political distribution. Helsinki, Finland: World Institute for Development Economics Research of the United Nations University, 1987.

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Station, Pacific Southwest Research, ed. Xylem monoterpenes of pines: Distribution, variation, genetics, function. Albany, Calif: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Research Station, 2000.

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Book chapters on the topic "Paire of Distribution Function"

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Billinge, Simon J. L. "Pair Distribution Function Technique: Principles and Methods." In NATO Science for Peace and Security Series B: Physics and Biophysics, 183–93. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5580-2_17.

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Onodera, Yohei, Tomoko Sato, and Shinji Kohara. "X-Ray and Neutron Pair Distribution Function Analysis." In The Materials Research Society Series, 93–120. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5235-9_4.

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Chapman, Karena W., and Peter J. Chupas. "Pair Distribution Function Analysis of High-Energy X-ray Scattering Data." In In-situ Characterization of Heterogeneous Catalysts, 147–68. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118355923.ch5.

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Bordet, Pierre, and Pauline Martinetto. "Use of the Pair Distribution Function Analysis in the Context of Pharmaceutical Materials." In Disordered Pharmaceutical Materials, 283–300. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527652693.ch10.

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Billinge, Simon. "Chapter 16. Local Structure from Total Scattering and Atomic Pair Distribution Function (PDF) Analysis." In Powder Diffraction, 464–93. Cambridge: Royal Society of Chemistry, 2008. http://dx.doi.org/10.1039/9781847558237-00464.

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Billinge, S. J. L. "Nanometre-scale structure from powder diffraction: total scattering and atomic pair distribution function analysis." In International Tables for Crystallography, 649–72. Chester, England: International Union of Crystallography, 2019. http://dx.doi.org/10.1107/97809553602060000972.

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Proffen, Thomas. "11. Analysis of Disordered Materials Using Total Scattering and the Atomic Pair Distribution Function." In Neutron Scattering in Earth Sciences, edited by Hans Rudolf Wenk, 255–74. Berlin, Boston: De Gruyter, 2006. http://dx.doi.org/10.1515/9781501509445-016.

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Parise, J. B., L. Ehm, and F. M. Michel. "Analysis of the Total Scattering Using the Quantitative High Pressure Pair Distribution Function: Practical Considerations." In NATO Science for Peace and Security Series B: Physics and Biophysics, 513–22. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9258-8_42.

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Ehm, L., F. M. Michel, and J. B. Parise. "Analysis of the Total Scattering Using the Quantitative High Pressure Pair Distribution Function: Case Studies." In NATO Science for Peace and Security Series B: Physics and Biophysics, 523–31. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9258-8_43.

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Gooch, Jan W. "Distribution Function." In Encyclopedic Dictionary of Polymers, 980. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15223.

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Conference papers on the topic "Paire of Distribution Function"

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Billinge, Simon J. L. "Pair Distribution Function." In 23a Reunião da Associação Brasileira de Cristalografia. São Paulo: Editora Blucher, 2017. http://dx.doi.org/10.5151/23abcr-24.

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Mu, Xiaoke. "Open Source Software for STEM Pair Distribution Function Mapping." In European Microscopy Congress 2020. Royal Microscopical Society, 2021. http://dx.doi.org/10.22443/rms.emc2020.405.

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Kodama, Katsuaki, Takashi Honda, Kazutaka Ikeda, Shin-ichi Shamoto, and Toshiya Otomo. "Magnetic Pair Distribution Function of Spin-glass System Mn0.5Fe0.5TiO3." In Proceedings of the 3rd J-PARC Symposium (J-PARC2019). Journal of the Physical Society of Japan, 2021. http://dx.doi.org/10.7566/jpscp.33.011059.

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Hua, Xiao, Sandy Sanchez, and Ullrich Steiner. "Phase Evolution During Perovskite Formation – An Insight from Pair Distribution Function." In Online Conference on Atomic-level Characterisation of Hybrid Perovskites. València: Fundació Scito, 2022. http://dx.doi.org/10.29363/nanoge.hpatom.2022.008.

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Hong, Xinguo, Lars Ehm, Zhong Zhong, Sanjit Ghose, Thomas S. Duffy, and Donald J. Weidner. "High-energy X-ray focusing and high-pressure pair distribution function measurement." In ICXOM23: International Conference on X-ray Optics and Microanalysis. Author(s), 2016. http://dx.doi.org/10.1063/1.4961131.

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Hong, Xinyi, and Xinguo Hong. "An alternative method for pair distribution function (PDF) determination from complex environments." In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SYNCHROTRON RADIATION INSTRUMENTATION – SRI2015. Author(s), 2016. http://dx.doi.org/10.1063/1.4952933.

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Li, Qiqi, Fei'er Yang, Ruoxi Wei, Han Sun, Zan Yang, and Wei Nai. "Huber Loss Function Based on t-Distribution Yin-Yang-Pair Optimization Algorithm." In 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022. http://dx.doi.org/10.1109/itoec53115.2022.9734669.

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Rohner, Christian. "Identification of microplastic particles by pair distribution function analysis of electron diffraction data." In European Microscopy Congress 2020. Royal Microscopical Society, 2021. http://dx.doi.org/10.22443/rms.emc2020.494.

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Kashio, Yoshihiko, and Eiji Okada. "Optical topographic reconstruction using photon measurement density function." In European Conference on Biomedical Optics. Washington, D.C.: Optica Publishing Group, 2001. http://dx.doi.org/10.1364/ecbo.2001.4431_313.

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The multi-channel NIR system can obtain the topographic image of brain function in the cortex. Since the light is strongly scattered in biological tissue, the spatial sensitivity of the source-detector pairs is broadly distributed in the brain cortex. This phenomenon causes poor spatial resolution of topographic imaging. In this study, the spatial sensitivity distribution of the source-detector pairs is incorporated into the reconstruction algorithm of the topographic image to improve the spatial resolution.
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Kodama, Katsuaki, Naoki Igawa, Shin-ichi Shamoto, Kazutaka Ikeda, Hidetoshi Ohshita, Naokatsu Kaneko, Toshiya Otomo, Kentaro Suzuya, Akinori Hoshikawa, and Toru Ishigaki. "Local Structural Analysis by Using Atomic Pair Distribution Function on Mixed Valence Compound LiMn2O4." In Proceedings of the International Conference on Strongly Correlated Electron Systems (SCES2013). Journal of the Physical Society of Japan, 2014. http://dx.doi.org/10.7566/jpscp.3.013012.

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Reports on the topic "Paire of Distribution Function"

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Vondreele, R., S. Billinge, G. Kwei, and A. Lawson. Development of pair distribution function analysis. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/378229.

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King, Graham Missell. Introduction to Pair Distribution Function Analysis. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1170274.

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Billinge, S. J. L., and M. F. Thorpe. Local Atomic Structure of Semiconductor Alloys Using Pair Distribution Function Analysis. Office of Scientific and Technical Information (OSTI), June 2002. http://dx.doi.org/10.2172/795601.

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Asenath-Smith, Emily, Emma Ambrogi, Lee Moores, Stephen Newman, and Jonathon Brame. Leveraging chemical actinometry and optical radiometry to reduce uncertainty in photochemical research. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42080.

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Subtle aspects of illumination sources and their characterization methods can introduce significant uncertainty into the data gathered from light-activated experiments, limiting their reproducibility and technology transition. Degradation kinetics of methyl orange (MO) and carbamazepine (CM) under illumination with TiO₂ were used as a case study for investigating the role of incident photon flux on photocatalytic degradation rates. Valerophenone and ferrioxalate actinometry were paired with optical radiometry in three different illumination systems: xenon arc (XE), tungsten halogen (W-H), and UV fluorescent (UV-F). Degradation rate constants for MO and CM varied similarly among the three light systems as k W-H < kiv-F < kXE, implying the same relative photon flux emission by each light. However, the apparent relative photon flux emitted by the different lights varied depending on the light characterization method. This discrepancy is shown to be caused by the spectral distribution present in light emission profiles, as well as absorption behavior of chemical actinometers and optical sensors. Data and calculations for the determination of photon flux from chemical and calibrated optical light characterization is presented, allowing us to interpret photo-degradation rate constants as a function of incident photon flux. This approach enabled the derivation of a calibrated ‘rate-flux’ metric for evaluating and translating data from photocatalysis studies.
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Smith, Richard J., and Vitaliy Oryshchenko. Improved density and distribution function estimation. The IFS, July 2018. http://dx.doi.org/10.1920/wp.cem.2018.4718.

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Nuttall, Albert H. The Wigner Distribution Function with Minimum Spread. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada199661.

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Didonato, Armido. An Inverse of the Incomplete Beta Function (F-(Variance Ratio) Distribution Function). Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada467901.

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Nuttall, Albert H. Alias-Free Wigner Distribution Function and Complex Ambiguity Function for Discrete-Time Samples. Fort Belvoir, VA: Defense Technical Information Center, April 1989. http://dx.doi.org/10.21236/ada211050.

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Smith, Richard. Xylem monoterpenes of pines: distribution, variation, genetics, function. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, 2000. http://dx.doi.org/10.2737/psw-gtr-177.

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J. L. V. Lewandowski. Numerical Loading of a Maxwellian Probability Distribution Function. US: Princeton Plasma Physics Lab., NJ (US), March 2003. http://dx.doi.org/10.2172/813603.

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