Relevant bibliographies by topics / Short-range order parameter

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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 'Short-range order parameter'

Author: Grafiati
Published: 7 June 2025
Last updated: 26 June 2025

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Journal articles on the topic "Short-range order parameter"

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Davids, William J., Anna V. Ceguerra, and Simon P. Ringer. "Interpreting the Simplified Multicomponent Short-Range Order Parameter." Microscopy and Microanalysis 25, S2 (2019): 332–33. http://dx.doi.org/10.1017/s1431927619002393.

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Andriushchenko, Petr Dmitrievich, and Konstantin V. Nefedev. "Order Parameter in Short-Range and Long-Range Ising Finite Feromagnetic Models." Solid State Phenomena 247 (March 2016): 153–57. http://dx.doi.org/10.4028/www.scientific.net/ssp.247.153.

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The approach to determination of the order parameter in the finite 1D Ising model was proposed. For such systems a root mean square magnetization and an average size of the maximal ground state cluster which is formed by neighboring spins with an energy {-2J} does not disappear at T!=0. The temperature dependence of heat capacity and its derivative with respect to temperature from the average size of the maximum quasi ground state cluster, formed by the neighboring spins with an energy {-2J,0} in the 1D Ising chain were considered. The percolation approach in Curie-Weiss does not work due the internal structure of the model.
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Salomons, E., N. Koeman, J. Rector, and R. Griessen. "Short-range order parameter of the disordered alloy Pd91Y9determined from hydrogen absorption." Journal of Physics: Condensed Matter 2, no. 4 (1990): 835–44. http://dx.doi.org/10.1088/0953-8984/2/4/005.

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Singh, R. N. "Short-range order and concentration fluctuations in binary molten alloys." Canadian Journal of Physics 65, no. 3 (1987): 309–25. http://dx.doi.org/10.1139/p87-038.

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The quasi-chemical theory and the quasi-lattice theory are discussed with a view to obtaining information about concentration fluctuations, SCC(0), and the short-range order parameter, α1, for regular and compound-forming molten alloys. The influence of the coordination number z and the interchange energy ω on the mixing properties of the alloy is critically examined. SCC(0) and α1 have been found to be very useful in extracting microscopic information, like local ordering and segregation in molten systems. The problem of glass formation in compound-forming binary molten alloys is also briefly discussed.
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BONDARCHUCK, O., S. GOYSA, I. KOVAL, P. MEL'NIK, and M. NAKHODKIN. "SHORT-RANGE ORDER OF DISORDERED SOLID SURFACES FROM ELASTICALLY SCATTERED ELECTRON SPECTRA." Surface Review and Letters 04, no. 05 (1997): 965–67. http://dx.doi.org/10.1142/s0218625x97001139.

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The diffraction phenomenon of low- and middle-energy electrons for disordered solid surfaces was experimentally studied and a new electron spectroscopy technique for surface short-range order parameter determination proposed.
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Idczak, Rafał, and Robert Konieczny. "Temperature dependence of the short-range order parameter for Fe0.90Cr0.10 and Fe0.88Cr0.12 alloys." Nukleonika 60, no. 1 (2015): 35–38. http://dx.doi.org/10.1515/nuka-2015-0009.

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Abstract The 57Fe Mössbauer spectra for the iron-based solid solutions Fe0.90Cr0.10 and Fe0.88Cr0.12 were measured at different temperatures ranging from 300 K to 900 K. Analysis of the obtained spectra shows that the distribution of impurity atoms in the two first coordination shells of 57Fe nuclei is not random and it cannot be described by the binomial distribution. Quantitatively, the effects were described in terms of the atomic short-range order (SRO) parameters and the pair-wise interaction energy with the help of a quasi-chemical type formulation introduced by Cohen and Fine. The obtained results reveal strong clustering-type correlations in the studied samples (a predominance of Fe-Fe and Cr-Cr bonds). Moreover, the changes in SRO values observed during thermal processing suggest that the distribution of Cr atoms in an α-iron matrix is strongly temperature dependent.
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Bairova, G. D., and A. A. Mirzoev. "Short-Range Order in Fe-Cr Alloys: Lattice Monte Carlo Modelling." Materials Science Forum 989 (May 2020): 68–73. http://dx.doi.org/10.4028/www.scientific.net/msf.989.68.

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Short-range order in Fe–Cr alloys is investigated by Monte Carlo method. The modelling was performed by Metropolis algorithm using the LAMMPS software package. Modelling results were analyzed by the visualization and data analysis package Ovito. The model of the alloys supposed that the lattice structure was fixed and interaction exists between the first and the second neighbours. The Fe–Cr interaction was established with the use of interatomic interaction potential Abell–Brenner–Tersoff (ABOP). Different concentrations of substitutional impurity of chromium in iron were investigated, viz. 5–50 at. %. The energy of mixing in the Fe–Cr system was calculated for various concentrations of substitutional impurity. Calculation showed that the chosen interaction potential reproduces correctly the changes of the sign of the energy of mixing as a function of Cr concentration. When applied in Monte Carlo kinetic modelling the potential predicts correctly the immiscibility of initially chaotic Fe–Cr alloys as a function of Cr content. The Cowley short-range order parameter is determined that is used for quantitative estimation of the degree of ordering. A strong tendency towards ordering in Cr distribution is observed at low concentrations which is exhibited by negative values of short-range order parameters, in accordance with the experiment.
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BELENKII, A. Ya, and M. A. FRADKIN. "Local Electronic Structure and Short-Range Order in a Computer Simulated Amorphous Metal." International Journal of Modern Physics C 02, no. 01 (1991): 232–37. http://dx.doi.org/10.1142/s0129183191000238.

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The relationship between topological short-range order and a local electronic structure was analyzed in the computer model of an amorphous metal. The model, obtained by means of the original self-consistent cluster simulation procedure was studied with the use of Voronoi tesselation, the distribution of the atomic level stresses and the icosahedral order parameters. It was found that a marked correlation exists within 2 atomic parameter groups, one of which corresponds to the local dilatation and the other to the spherical symmetry distortion. The local density of electronic d-states (DOS) and the distribution of the electronic parameters was analyzed. The local electronic structure, calculated within the tight-binding approximation, appears to depend on the local atomic order by two-fold means: the interatomic distances decrease leads to the increase of the local bandwidth, and the icosahedral configuration distortion reduces the DOS at the Fermi level. The study of the local configurations stability shows, that the most stable configurations are the slightly distorted icosahedra.
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Jang, Hyun M., and Su-Chan Kim. "Pb()O3-type Perovskites: Part I. Pair-correlation Theory of Order-disorder Phase Transition." Journal of Materials Research 12, no. 8 (1997): 2117–26. http://dx.doi.org/10.1557/jmr.1997.0284.

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The limitation of the long-range order parameter and the necessity of the short-range order parameter for the thermodynamic description of Pb()O3-type perovskites are discussed. Based on the discussion, a statistical thermodynamic model that takes into account the configuration of the neighboring B-site ions (B′ and B″ cations) was developed. A pair-correlation approximation was used in the calculation of the configurational entropy and the long-range coulombic interaction energy between the nearest B-site ions. The theoretical calculations using Pb(Sc1/2Ta1/2)O3 (PST) and Pb(Sc1/2Nb1/2)O3 (PSN) systems indicate that the short-range order parameter persists over a wide range of temperatures examined (0–1800 K) and that there possibly occur consecutive long-range order-disorder transitions in the configuration of B-site cations. The possibility of the existence of short-range ordering above the long-range order-disorder transition temperature was also examined using the annealed PSN specimen as a typical example of Pb()O3-type perovskites.
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Radchenko, Taras M., and Valentin A. Tatarenko. "Statistical Thermodynamics and Kinetics of Long-Range Order in Metal-Doped Graphene." Solid State Phenomena 150 (January 2009): 43–72. http://dx.doi.org/10.4028/www.scientific.net/ssp.150.43.

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The statistical-thermodynamics and kinetics models of atomic ordering in a metal-doped graphene (binary two-dimensional planar graphene-type crystal lattice) at 1/8, 1/4, and 1/2 stoichiometries are proposed. Impossibility of (completely) atomic-ordered distribution at 1/6 and 1/3 stoichiometries is ascertained in a graphene-type crystal lattice (in case of a short-range interatomic interactions at least). If a graphene is doped by the short-range interacting metal atoms, the superstructures described only by a one LRO parameter are possible; and if it is doped by the long-range interacting metal atoms, the new superstructures with the two or three LRO parameters may appear as well. If stoichiometry is 1/4, the structure has a one long-range order (LRO) parameter is more thermodynamically favorable than those have one or two LRO parameters. It is established that kinetics curves of LRO parameters can be non-monotonic for structures where there are two or three LRO parameters (because graphene-type lattice contains two sublattices, and mixing energy is different for each of them). It is shown that the most ordered is structure with equal atomic fractions of carbon and metal atoms, while the least one is structure with a maximal difference of carbon and metal atoms. Kinetics results confirm statistical-thermodynamic ones: firstly, equilibrium values of LRO parameter coincide within the framework of both models, secondly, equilibrium (and instantaneous) value of LRO parameter in a nonstoichiometric binary graphene-type structure (where atomic fraction of a doping component deviates from the stoichiometry to the side of the higher concentrations) may be higher than it is in a stoichiometric one. The dominance of the same physical mechanisms of atomic ordering in both mixed nanosystems and macrosystems is assumed.
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Dissertations / Theses on the topic "Short-range order parameter"

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Majumdar, Madhabi. "Elastic Constants, Viscosities and Fluctuation Modes of Certain Bent-Core Nematic Liquid Crystals Studied by Dynamic Light Scattering and Magnetic Field Induced Orientational Distortion." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1321991835.

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Radchenko, Taras, Valentyn Tatarenko, and Sergiy Bokoch. "Calculation of diffusivities in ordering f.c.c. alloy by the kinetic data about short- and long-range order parameters’ relaxation: Calculation of diffusivities in ordering f.c.c. alloy by the kineticdata about short- and long-range order parameters’ relaxation." Diffusion fundamentals 2 (2005) 57, S. 1-2, 2005. https://ul.qucosa.de/id/qucosa%3A14390.

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Radchenko, Taras, Valentyn Tatarenko, and Sergiy Bokoch. "Calculation of diffusivities in ordering f.c.c. alloy by the kinetic data about short- and long-range order parameters’ relaxation." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-196109.

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Renaud, Gilles. "Ordre chimique et désordre topologique dans les solutions solides AuNi : étude par résistivité et par absorption et diffusion du rayonnement synchrotron X." Grenoble 1, 1988. http://www.theses.fr/1988GRE10134.

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Caracterisation precise de la tendance a l'ordre a courte distance dans le monocristal au::(80) ni::(20): l'alliage est aleatoire en premier voisin, mais il existe une faible tendance a l'homocoordination en second voisin. Determination dans tout le domaine de composition des valeurs des trois distances moyennes partielles ainsi que de la largeur et de l'asymetrie de leur distribution. Mesure de l'effet de coeur dans les alliages dilues. Simulation par ordinateur des distorsions du reseau. Evaluation selon un modele harmonoque de l'energie elastique
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Books on the topic "Short-range order parameter"

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Pitt, Matthew. Motor unit anatomy and physiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754596.003.0006.

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This chapter focuses on the signals recorded with needle electromyography (EMG) and the measurement of their specific parameters. These parameters include duration, amplitude, number of phases, and stability. The concept of the electrophysiologic biopsy and the explanation of unusual findings seen on EMG are introduced. In relation to the interference pattern, discussions of the firing rate, recruitment order, and interference pattern are given. Moving from the theoretical explanation of the findings, the problems of the accurate quantitative analysis of the motor unit potential are discussed and measures to improve quantification, particularly in children, are highlighted. The importance of filter settings, the storage of signals, and the different ways of collecting and analysing the potentials are all covered. This section finishes with discussion of the normative range for motor unit duration, and concludes with the automatic analysis of the interference pattern, including turns/amplitude analysis, number of short segments measurement, and envelope analysis.
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Book chapters on the topic "Short-range order parameter"

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van der Marel, D., A. Wittlin, H. U. Habermeier, and D. Heitmann. "Infrared Study of the Order Parameter in YBa2Cu3O7: Analogy to Short Range Ordering in Itinerant Ferromagnets." In High-Temperature Superconductivity. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3338-2_23.

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Legein, Christophe, Monique Body, Jean-Yves Buzaré, Charlotte Martineau, and Gilles Silly. "Probing Short and Medium Range Order in Al-based Fluorides using High Resolution Solid State Nuclear Magnetic Resonance and Parameter Modelling." In Functionalized Inorganic Fluorides. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470660768.ch5.

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Gennes, P. G. De, and J. Prost. "Long- And Short-Range Order In Nematics." In The Physics of Liquid Crystals. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780198520245.003.0002.

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Abstract The nematic phase has a lower symmetry than the high-temperature isotropic liquid. We express this qualitatively by saying that the nematic phase is ‘more ordered’. To put this on a quantitative basis, we need to define an order parameter that is non-zero in the nematic phase but that vanishes, for symmetry reasons, in the isotropic phase. In some physical systems an adequate choice of the order parameter is obvious. For instance, in a ferromagnet, the order parameter is the magnetization M; this is a vector with three independent components M,,. In a nematic phase the choice is less trivial and we shall have to proceed in successive steps.
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Müller, Ulrich, and Gemma de la Flor. "On the theory of phase transitions." In Symmetry Relationships between Crystal Structures, 2nd ed. Oxford University PressOxford, 2024. https://doi.org/10.1093/oso/9780192858320.003.0022.

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Abstract Whether a compound experiences a phase transition is a matter of thermodynamics. According to the Landau theory, the Gibbs free energy can be expanded to a Taylor series with respect to an order parameter η. For a continuous phase transition, only even powers of η may appear in the Taylor series. For a temperature-driven phase transition, η is proportional to [(Tc − T)/Tc]β, T being the temperature, Tc the critical temperature, and β the critical exponent. Landau theory shows discrepancies with experimental findings, especially when there are short-range atomic interactions. An improvement has been achieved with the renormalization-group theory, where fluctuations are considered.
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Andrade, J. S. de, and M. P. Almeida. "A Hamiltonian Approach for Tsallis Thermostatistics." In Nonextensive Entropy. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195159769.003.0012.

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Since the pioneering work of Tsallis in 1988 [15] in which a nonextensive generalization of the Boltzmann-Gibbs (BG) formalism for statistical mechanics was proposed, intensive research has been dedicated to the development of the conceptual framework behind this new thermodynamical approach and to its application to realistic physical systems. In order to justify the Tsallis generalization, it has been frequently argued that the BG statistical mechanics has a domain of applicability restricted to systems with short-range interactions and non-(multi)fractal boundary conditions [14]. Moreover, it has been recalled that anomalies displayed by mesoscopic dissipative systems and strongly non- Markovian processes represent clear evidence of the departure from BG thermostatistics. These types of arguments have been duly reinforced by recent convincing examples of physical systems that are far better described in terms of the generalized formalism than in the usual context of the BG thermodynamics (see Tsallis [14] and references therein). It thus became evident that the intrinsic nonlinear features present in the Tsallis formalism that lead naturally to power laws represent powerful ingredients for the description of complex systems. In the majority of studies dealing with the Tsallis thermostatistics, the starting point is the expression for the generalized entropy S<sub>q<sub>, where A; is a positive constant, q a parameter, and / is the probability distribution. Under a different framework, some interesting studies [8] have shown that the parameter q can be somehow linked to the system sensibility on initial conditions. Few works have been committed to substantiate the form of entropy (1) in physical systems based entirely on first principles [1, 13]. For example, it has been demonstrated that it is possible to develop dynamical thermostat schemes that are compatible with the generalized canonical ensemble [12].
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Zinn-Justin, Jean. "Critical phenomena: General considerations. Mean-field theory (MFT)." In Quantum Field Theory and Critical Phenomena. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198834625.003.0014.

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This chapter is devoted to a brief review of general properties of phase transitions in macroscopic physics and, in particular in lattice models. Some of these lattice models actually appear as lattice regularizations of Euclidean (imaginary time) quantum physics theory (QFT). Most of the transitions considered in this work have the following character: spins on the lattice, or macroscopic particles in the continuum, interact through short-range forces, assumed, for simplicity, to decay exponentially. For simple systems, it is possible to find a local observable, called order parameter, whose expectation values depend on the phase in the several phase region, for example, the spin in ferromagnetic systems. In the disordered phase, the connected two-point function decreases exponentially at large distance, at a rate characterized by the correlation length (the inverse of the smallest physical mass in particle physics). In continuous transitions, the correlation length diverges at the critical temperature. Within the mean-field approximation (consistent with Landau's theory of critical phenomena), it can be shown that the singular behaviour of thermodynamic quantities at the critical temperature is universal. These properties can also be reproduced by calculating correlation functions with a perturbed Gaussian measure. It is then shown that the leading corrections to the mean-field approximation, in Ising-like systems, diverge at the critical temperature for dimensions smaller than or equal to $4$.
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Imry, Yoseph. "Mesoscopic Effects in Equilibrium and Static Properties." In Introduction to Mesoscopic Physics. Oxford University PressNew York, NY, 1997. http://dx.doi.org/10.1093/oso/9780195101676.003.0004.

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Abstract INTRODUCTORY REMARKS, THERMODYNAMIC FLUCTUATION EFFECTS This chapter will be devoted to mesoscopic effects which are not neccesarily related to nonequilibrium or transport phenomena. Most of our discussion in the rest of this chapter will be concerned with electronic effects, often with fluctuations from sample to sample. We shall start here, however, by briefly reviewing more general finite-size effects due to ordinary thermodynamic fluctuations. Such fluctuations are usually negligible in the “thermodynamic limit,” as far as their contributions to, for example, intensive properties, or to the O(N) part of extensive ones are concerned. However, thermodynamic fluctuations may play an important role in special situations where large length scales exist in the system. We mention here two of these: the elimination of certain types of long-range order (and, therefore, phase transitions) in low-dimensional systems and the effects of finite sample sizes on regular phase transitions. There are several varieties of the former effects. In systems with “discrete order parameters,” for example a liquid-gas equilibrium, the energy of a “wall” between two phases, Uw, is finite in the quasi-ID (finite cross-section) case for short-range interactions. Since the entropy (Landau and Lifshitz 1959) of such a wall is of the order of kB ln(L/ L0), where Lis the length of the system and L0 is some atomic length, walls will always be spontaneously generated in equilibrium, for a large enough
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Conference papers on the topic "Short-range order parameter"

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Balasubramanian, Rama, Desmond C. Cook, T. Perez, and J. Reyes. "Development of Nano-Phase Iron Oxides from Short-Term Atmospheric Corrosion of Carbon Steel." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00453.

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Abstract The performance of steels used for structural and industrial applications is affected by atmospheric corrosion. The study of development of corrosion products in atmospherically exposed steels is very important to understand the corrosion process. A systematic study has been made of the development of corrosion products formed on carbon steel atmospherically exposed for short times along the Gulf of México. Carbon steel coupons were exposed between 1 and 12 months at a marine location in Campeche, México, to study the corrosion as a function of time. The environmental parameters were monitored during the exposure period. The resulting corrosion products were analyzed by Mössbauer Spectroscopy, Micro-Raman Spectrometry and X-ray diffraction in order to completely identify the oxides and map their location in the corrosion coating. The most abundant oxides present in the corrosion products were lepidocrocite and goethite as evidenced by in-situ X-ray diffraction and transmission Mössbauer and micro-Raman analysis of the corroded coupons. Akaganeite was absent in the corrosion coatings even though the exposure site was in a marine environment. In a similar exposure of carbon steel coupons at one of the marine sites prior to this exposure, akaganeite was detected in the corrosion products. However during this present exposure the average chloride concentration was measured to be only 12 mg/m2/day as opposed to an average chloride concentration of 45 mg/m2/day measured in the previous exposure. Mössbauer analysis at 300 K and 77 K showed the presence of lepidocrocite and superparamagnetic goethite in amounts dependent on the exposure time. The average particle size of goethite in the corrosion coating was found to lie in the range of 7-10 nm. Mössbauer spectra of the corrosion products recorded at 4 K, showed the presence of an x-ray amorphous phase whose hyperfine parameters corresponded to ferrihydrite with particle size < 8 nm. The ratio of α-FeOOH/γ-FeOOH, measured by Mössbauer spectroscopy was found to be nearly 3.5 in carbon steel for short-term exposures, compared to the reported ratio of 1.5 for weathering steel for similar exposure periods from X-ray diffraction measurements. Micro-Raman analysis showed that the corrosion coatings were multi-layered with lepidocrocite closer to the surface and goethite closer to the steel.
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Belosludtseva, Anna, Leonid Barkalov, Nadezhda Bobenko, and Nataliya Melnikova. "Concentration and configurational dependence of the short-range order parameter in two-layer graphene." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS WITH HIERARCHICAL STRUCTURE FOR NEW TECHNOLOGIES AND RELIABLE STRUCTURES 2019. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5131900.

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Belov, Sergej, Sergej Belov, Ija Belova, Ija Belova, Stepan Falomeev, and Stepan Falomeev. "MONITORING OF COASTAL ECOSYSTEMS BY METHOD OF REMOTE SENSING IN THE SHORT-WAVE RANGE OF RADIO WAVES." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b93d0b9e123.60003193.

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A new method for estimating the parameter noncoherent signal/noise K of ionospheric signal is offered. A comparative analysis is carrying out. This new method exceeds an order of magnitude widely used standard one by analytical (relative) accuracy of determining a parameter K. It has the same order as the well-known coherent methodology.
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Belov, Sergej, Sergej Belov, Ija Belova, Ija Belova, Stepan Falomeev, and Stepan Falomeev. "MONITORING OF COASTAL ECOSYSTEMS BY METHOD OF REMOTE SENSING IN THE SHORT-WAVE RANGE OF RADIO WAVES." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4316d2a67c.

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A new method for estimating the parameter noncoherent signal/noise K of ionospheric signal is offered. A comparative analysis is carrying out. This new method exceeds an order of magnitude widely used standard one by analytical (relative) accuracy of determining a parameter K. It has the same order as the well-known coherent methodology.
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Parida, B. P., and R. Sinharay. "Sweet Spots in Coal Bed Methane (CBM): Major Controlling Parameters Identification Through Reservoir Modeling, Simulation, and Uncertainty Analysis to De-Risk Field Development." In GOTECH. SPE, 2024. http://dx.doi.org/10.2118/219327-ms.

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Abstract Sweet spots are the areas where reservoir parameters are suitable for maximum production with the least possible footprint and investment. The high complexity of reservoirs, absent or insufficient seismic data and the requirement of a great number of wells are the major challenges and hence, sweet spot identification during the exploration stage is key for the optimized appraisal of a Coal bed Methane (CBM) field. Identifying major controlling parameters that impact production is the first and foremost step towards demarcating the sweet spot. A unique workflow consisting of reservoir characterization, modelling and simulation was used along with both short- and long-term uncertainty analysis. Different reservoir parameters analysis acquired from different sources like laboratory or field tests are critically analyzed to characterize reservoirs. Data were analyzed to define the range of variation of individual parameters to build reservoir models for uncertainty analysis. The single well models on each of the 50 cases were run in prediction mode in Eclipse as a dual-porosity system. The model results of estimated ultimate recovery (EUR) are plotted in a tornado plot to analyze the relative impact of each parameter. From the analysis, it is found that Gas content, Permeability, thickness, and gas saturation are the dominant parameters for sweet spot demarcation although a few other parameters like bottom-hole pressure constraint, and relative permeabilities are also impacting the production, especially during early periods of production. As per plots, porosity also plays a role but as its range is very low, it could be ignored. It is interesting to note that the order of impacting parameters changes from long-term to short-term. In the long term, thickness and gas content i.e., resources play a bigger role than saturation, permeability, or relative permeability. But in the short term, which is important for the economic success of the field, permeability, saturation, and relative permeability plays a more important role. This helped in identifying sweet spots in this coal reservoir by shortlisting the areas where these dominant controlling parameters coexist and are well developed. Further, sweet spots are used to plan appraisal or pilot production test wells whose success ultimately leads to field-scale development. The present study brings uniqueness in the form of an innovative workflow consisting of reservoir characterization, modelling, and simulation. This has been used along with both short and long-term uncertainty analysis that adds considerable value to the existing knowledge. This workflow can be applied in other reservoirs or basins which may help CBM exploitation time and cost effective and optimize the field development.
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Yagihashi, Hiromitsu, Daisuke Nakata, Ryojiro Minato, Inaho Yoshikawa, Koki Arimatsu, and Masaharu Uchiumi. "Experimental Study of Temperature and Phase Transition of Liquid Oxygen at Ignition in Impinging Injector of Gas Generator." In ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-4935.

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Abstract This paper describes the ignition transients of a LOX/ethanol gas generator that is used for a gas generator cycle air turbo ramjet engine. It is essential to know the temperature history of the LOX injector manifold in order to determine the appropriate ignition sequence. Following a chill-down process, an inert gas purge is performed prior to ignition. Once the main valve is opened, liquid oxygen is discharged after a short period of discharging gaseous oxygen. The period of the gas discharge is a critical parameter for the success of the ignition that is affected by the injector temperature at the time that the valve opens. As a result of the experiments, the gas discharge period was found to be in the range of 0.5–1.0 second, whereas the injector temperature when the valve was opened ranged from 120–170 K under various experimental conditions.
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Wakai, Takashi, Takashi Onizawa, Takehiko Kato, Shingo Date, Koichi Kikuchi, and Kenichiro Satoh. "A Study for Proposal of Welded Joint Strength Reduction Factors of Modified 9Cr-1Mo Steel for Japan Sodium Cooled Fast Reactor (JSFR)." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97091.

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This paper proposes provisional welded joint strength reduction factors (WJSRF) of modified 9Cr-1Mo steel (ASME Gr.91) applicable to the structural designing of “Japan sodium cooled fast reactor (JSFR)”. In the welded joints of creep strength enhanced ferritic steels including modified 9Cr-1Mo steel, creep strength may obviously degrade especially in long-term region. This phenomenon is known as “Type-IV” damage. The authors had proposed provisional allowable stress for the welded joints made of the steel in PVP 2010 conference, taking creep strength degradation due to “Type-IV” damage into account. Available creep rupture data of the welded joints made of the steel provided by Japanese steel venders were collected. The temperature range was from 500 to 650°C. The database was analyzed by stress range partitioning method. The creep rupture data were divided into two regions of short-term and long-term and those were individually evaluated by regression analyses with Larson Miller Parameter (LMP). The difference in the creep failure mechanisms between short-term and long-term regions is taken into account in this method. Boundary between these regions was half of 0.2% proof stress of the base metal at corresponding temperature. First order polynomial equation of logarithm stress was applied. For conservativeness, allowable stress was proposed provisionally considering design factor for each region. JSME (Japan Society of Mechanical Engineers) published a revised version of the elevated temperature design code in last year. Modified 9Cr-1Mo steel was officially registered in the code as a new structural material for sodium cooled fast reactors. The creep rupture curve for the base metal of the steel was standardized by employing stress range partitioning method, same as for the welded joint. However, second order polynomial equation of logarithm stress was applied in the analysis for the base metal. In addition, the creep rupture data obtained at 700°C were included in the database and data ruptured in very short term, i.e. smaller than 100 hours, were excluded from the analysis. Thus, there are some differences between the procedures to determine the creep rupture curves for base metal and welded joint made of modified 9Cr-1Mo steel. This paper discusses the most feasible procedure to determine the creep rupture curve of the welded joint of the steel by performing some case studies to focus on physical adequacy and harmonization with the determination procedure of the creep rupture curve for the base metal. Then, the WJSRF are provisionally proposed based on the design creep rupture stress intensities. In addition, the design of JSFR pipes was reviewed taking WJSRF into account.
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8

Shan, Zijuan, Zhenyu Ni, and Zhengzhi Li. "Improvement of the properties of SISAM using the theory of Hilbert and Schmidt." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.thaa1.

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The original spectrum measured in the interferometric spectrometer with selection by amplitude modulation (SISAM) has been reconstructed, we believe for the first time, by solving the integral equation associated with the irradiance distribution in the receiving plane, using the theory of Hilbert and Schmidt. The number of sampling points is reduced greatly by dividing the larger range of wavenumber into several smaller ones and choosing the appropriate parameter. The instrumental function we obtain has a very small width and does not show noticeable sidelobes. A pure rotational spectrum of 14N216O is reconstructed with a high resolution in our computer experiment. It is also shown from our calculation that the recovery is good even if the order of random noise reaches 10−2. In addition, because the kernel of the integral equation is decided by the spectrometer and is independent of the spectrum, the calculated results can be stored as memory and used for any spectrum. Therefore it is possible to finish the recovery procedure within a very short time.
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Cheng, Yiheng, Tong Li, Sichao Tan, Bo Wang, Zhengxi He, and Ruifeng Tian. "Research on Key Parameter Prediction Technology of Small Modular Pressurized Water Reactor Under Ocean Conditions." In 2024 31st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/icone31-134788.

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Abstract Small modular pressurized water reactors can currently be installed in floating equipment such as ships and submarines. However, due to factors such as waves and grounding, their operation process is complicated. Long-term prediction of key transient parameters is required. By predicting the reactor over a long period of time Whether the operating status is normal, so as to take measures to correct its operating status and effectively reduce safety accidents, which helps to improve its safety. This article is based on the modeling of a small modular pressurized water reactor designed by Harbin Engineering University. During the modeling process, this article uses Multiple heat transfer tubes of a DC steam generator are used instead of multiple heat transfer tubes to simulate the heat transfer process, which simplifies the model, speeds up calculations, and improves transient accuracy. Later, the relap5 program developed under ocean conditions was used to simulate the rocking under ocean conditions. After obtaining the constant power transient data, this paper made predictions based on the data under ocean conditions. Because under undulating conditions, the key parameters in the reactor are affected by periodic gravity. Field-driven influences exhibit cyclical fluctuations. The greater the fluctuation amplitude, the larger the fluctuation period, the higher the parameter fluctuation range, the greater the power. The sensitivity of key parameters to changes in ocean motion conditions also increases. At present, predictions for small modular pressurized water reactors mostly stay at the direct analysis of data. Forecasting, since steady-state operating data has periodic fluctuations, there is a certain mathematical relationship between data and time. In order to improve the accuracy of forecasting, a joint model of VARIMA model and LSTM is proposed. Among them, VARIMA model can not only capture the trend changes of data, but also Can handle linear and periodic data. LSTM is a long short-term memory network that effectively captures the important long-term dependencies in the sequence and solves the gradient problem by introducing the concepts of memory cells, input gates, output gates and forgetting gates. Therefore, after dividing the data into periodic data and non-periodic data, VARIMA is used to predict the periodic data, and LSTM is used to predict the non-periodic data. After adding the two prediction values, the prediction result of the model is obtained., and compare the prediction results of the VARIMA+LSTM joint model with the optimized LSTM model to verify whether it can improve the prediction results.
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Cozzolini, A., M. C. Besch, M. Ardanese, et al. "Determination of Optimal Engine Parameters for Exhaust Emissions Reduction Using the Taguchi Method." In ASME 2011 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/icef2011-60134.

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In order to meet the ever more stringent exhaust emissions regulations and improve fuel consumption, heavy-duty Diesel engines (HDDE) have been equipped with electronically controlled components, including Exhaust Gas Recirculation systems (EGR), Variable Geometry Turbochargers (VGT) and advanced Fuel Injection Equipment (FIE) allowing for more flexible engine optimization. The introduction of such components increased the number of parameters influencing the optimization procedure; thus, significantly increasing the required amount of test-cell time to achieve an optimal engine calibration. Moreover, the adoption of aftertreatment systems, such as Selective Catalytic Reduction (SCR) technology or Diesel Particulate Filter (DPF) systems, required to comply with latest US-2010 and EURO V emissions legislations, requires flexible engine calibrations to address their efficiency dependency upon the thermodynamic conditions of the engine exhaust. The primary objective of this study was to develop and implement a simple multivariate optimization technique to program any given engine with multiple calibrations, both for steady-state and transient conditions, capable of modifying exhaust properties in order to guarantee optimal aftertreatment efficiencies during a wide range of engine operation. Four engine parameters, each at three levels, were selected for the optimization process, namely, EGR rate, VGT position, Start of Injection (SOI) and Nozzle Opening Pressure (NOP) as a surrogate for fuel injection pressure. Changes in control parameters which lead to an improvement in one specific emissions component may however often result in the deterioration of another. Thus, a good understanding of the relationship between individual control parameter effects is of utmost importance to correctly attain the optimum condition in short time and simultaneously reduce the number of experiments to be performed. Therefore, Design of Experiment (DOE) via factorial design, using the Taguchi method, was adopted to simultaneously study multiple factors and isolate the effects of changes in a single engine parameter on exhaust emissions. Different engine calibrations were obtained for an 11-liter Volvo engine by performing a set of only nine experiments for each engine speed/load point, which were selected to be equally distributed underneath the engine’s lug-curve. The main engine calibrations proved to be test cycle independent since comparable emission levels were observed over the European Steady-State Cycle (ESC) as well as the Federal Test Procedure (FTP). Reductions in Oxides of Nitrogen (NOx) on the order of 20% were achieved, while limiting the fuel consumption penalty to below 3%. Several high-efficiency calibrations were generated, achieving fuel consumption reductions close to 6%. Thus, the Taguchi method was found to be a viable way for simultaneous optimization of key engine parameters leading to a significant reduction in test-cell time; hence, relative development costs.
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Reports on the topic "Short-range order parameter"

1

Freeman, A. J., and A. Gonis. Local density theory of heats of formation and short-range order parameters in substitutionally disordered alloys: Final technical report. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/6264633.

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