Готові списки джерел за темами / One-Dimensional gas

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Добірка наукової літератури з теми "One-Dimensional gas"

Автор: Grafiati
Опубліковано: 12 жовтня 2024

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Статті в журналах з теми "One-Dimensional gas"

1

Vieira and Gonsalves. "One-dimensional lattice gas." Condensed Matter Physics, no. 5 (1995): 210. http://dx.doi.org/10.5488/cmp.5.210.

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2

Barkai, E., V. Fleurov, and J. Klafter. "One-dimensional stochastic Lévy-Lorentz gas." Physical Review E 61, no. 2 (February 1, 2000): 1164–69. http://dx.doi.org/10.1103/physreve.61.1164.

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3

Wadati, Miki, and Go Kato. "One-dimensional hard-core Bose gas." Chaos, Solitons & Fractals 14, no. 1 (July 2002): 23–28. http://dx.doi.org/10.1016/s0960-0779(01)00178-3.

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4

Percus, J. K., and M. Q. Zhang. "The quasi-one dimensional hard square gas." Molecular Physics 69, no. 2 (February 10, 1990): 347–55. http://dx.doi.org/10.1080/00268979000100241.

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5

Webb, G. M. "Multi-symplectic, Lagrangian, one-dimensional gas dynamics." Journal of Mathematical Physics 56, no. 5 (May 2015): 053101. http://dx.doi.org/10.1063/1.4919669.

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6

Demirel, E., and B. Tanatar. "Correlations in a one-dimensional Bose gas." Physical Review B 59, no. 14 (April 1, 1999): 9271–77. http://dx.doi.org/10.1103/physrevb.59.9271.

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7

Takaishi, T. "One dimensional gas adsorbed in zeolitic pores." Pure and Applied Chemistry 58, no. 10 (January 1, 1986): 1375–82. http://dx.doi.org/10.1351/pac198658101375.

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8

Sheu, Wen-Shyan, C. Van den Broeck, and Katja Lindenberg. "Coagulation reaction in a one-dimensional gas." Physical Review A 43, no. 8 (April 1, 1991): 4401–5. http://dx.doi.org/10.1103/physreva.43.4401.

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9

NI, GUANG-JIONG, SU-QING CHEN, and H. C. LEE. "ONE-DIMENSIONAL COULOMB GAS AND QUARK DECONFINEMENT." Modern Physics Letters A 05, no. 16 (July 10, 1990): 1265–72. http://dx.doi.org/10.1142/s0217732390001438.

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Анотація:
Based on the sine-Gordon formulation of one-dimensional Coulomb gas with a relaxation length scale l0, a simple model for the deconfinement phase transition is proposed. The model gives a simulation of the deconfinement in the quark-antiquark system.
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10

Freericks, J. K., and L. M. Falicov. "Two-state one-dimensional spinless Fermi gas." Physical Review B 41, no. 4 (February 1, 1990): 2163–72. http://dx.doi.org/10.1103/physrevb.41.2163.

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Дисертації з теми "One-Dimensional gas"

1

Tas, Murat. "Dielectric Formulation Of The One Dimensional Electron Gas." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604981/index.pdf.

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The charge and spin density correlations in a one dimensional electron gas (1DEG) confined in a semiconductor quantum wire structure at zero temperature are studied. The dielectric formulation of the many--body problem is employed and the longitudinal dielectric function, local-field correction, static structure factor, pair correlation function, ground state energy, compressibility, spin-dependent effective interaction potentials, paramagnon dispersion and static spin response function of the 1DEG are computed within the self-consistent field approximations of Singwi et al., known as the STLS and SSTL. The results are compared with those of other groups, and those obtained for two-dimensional electron gas systems whenever it is possible. It is observed that the SSTL satisfies the compressibility sum rule better than the STLS. Calculating the ground state energy of the 1DEG in unpolarized and fully polarized states, it is shown that both STLS and SSTL predict a Bloch transition for 1DEG systems at low electron densities. Finally, the coupled plasmon-phonon modes in semiconductor quantum wires are calculated within the Fermi and Luttinger liquid theories. The coupling of electrons to bulk longitudinal optical phonons without dispersion and to acoustic phonons via deformation potential with a linear dispersion are considered. Using the dielectric formalism, a unified picture of the collective coupled plasmon-phonon modes is presented. Considerable differences between the predictions of the Fermi and Luttinger liquid approaches at large wave vector values, which may be observed experimentally, are found.
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2

Rodriguez, Carlos G. "One-Dimensional, Finite-Rate Model for Gas-Turbine Combustors." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30672.

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An unsteady, finite-rate, one-dimensional model has been developed for the analysis for gas-turbine combustors. The basis of the model is the one-dimensional, integral form of the conservation equations for multi-species, non-equilibrium, reacting mixtures. Special procedures were devised for the flow-division of the inlet flow into primary- and annular-flows, for both straight- and reverse-flow combustors. This allows the model to handle complete combustor configurations, which at present are beyond the reach of more sophisticated CFD tools. The model was validated with a steady-state analytical solution for a basic problem, and with steady-state results from a production code applied to a production combustor. Additional calculations show the ability of the code to predict blow-out due to rich and lean mixtures, and to predict the response of a combustor to perturbations in operating and boundary conditions.
Ph. D.
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3

Caley, Thomas. "Numerical Modeling of Gas Turbine Combustor Utilizing One-Dimensional Acoustics." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1491562189178949.

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4

Gudyma, Andrii. "Non-equilibrium dynamics of a trapped one-dimensional Bose gas." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS064/document.

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Une étude des modes d'oscillations d'une gaz de Bose unidimensionnel dans la piège est présentée. Les oscillations sont initiées par une changement instantanée de la fréquence de piégeage. Dans la thèse il est considéré d'un gaz de Bose quantique 1D dans un piège parabolique à la température nulle, et il est expliqué, analytiquement et numériquement, comment la fréquence d'oscillation dépend du nombre de particules, leur interaction répulsive, et les paramètres de piège. Nous sommes concentres sur la description spectrale, en utilisant les règles de somme. La fréquence d'oscillation est identifiée comme la différence d'énergie entre l'état fondamental et un état excité donne. L'existence de trois régimes est démontrée, à savoir le régime de Tonks, le régime de Thomas-Fermi et le régime de Gauss. La transition entre les régime de Tonks et de Thomas-Fermi est décrite dans l'approximation de la densité locale (LDA). Pour la transition entre le régime de Thomas-Fermi et le régime de Gauss l'approximation de Hartree est utilisée. Dans les deux cas, nous avons calculé les paramètres pour quelles les transitions se produisent. Les simulations extensif de Monte Carlo de diffusion pour un gaz contenant jusqu'à N = 25 particules ont été effectuées. Lorsque le nombre de particules augmente, les prédictions des simulations convergent vers celles d'Hartree et LDA dans ces régimes. Cela rend les résultats des modes d'oscillation applicables pour des valeurs arbitraires du nombre de particule et de l'interaction. L'analyse est complétée par les résultats perturbatifs dans les cas limites avec N finis. La théorie prédit le comportement réentrant de la fréquence de mode d'oscillation lors de la transition du régime de Tonks au régime de Gauss et explique bien les données de l'expérience récente du groupe d'Innsbruck
A study of breathing oscillations of a one-dimensional trapped interacting Bose gas is presented. Oscillations are initiated by an instantaneous change of the trapping frequency. In the thesis a 1D quantum Bose gas in a parabolic trap at zero temperature is considered, and it is explained, analytically and numerically, how the oscillation frequency depends on the number of particles, their repulsive interaction, and the trap parameters. We have focused on the many-body spectral description, using the sum rules approximation. The oscillation frequency is identified as the energy difference between the ground state and a particular excited state. The existence of three regimes is demonstrated, namely the Tonks regime, the Thomas-Fermi regime and the Gaussian regime. The transition from the Tonks to the Thomas-Fermi regime is described in the terms of the local density approximation (LDA). For the description of the transition from the Thomas-Fermi to the Gaussian regime the Hartree approximation is used. In both cases the parameters where the transitions happen are found. The extensive diffusion Monte Carlo simulations for a gas containing up to N = 25 particles is performed. As the number of particles increases, predictions from the simulations converge to the ones from the Hartree and LDA in the corresponding regimes. This makes the results for the breathing mode frequency applicable for arbitrary values of the particle number and interaction. The analysis is completed with the finite N perturbative results in the limiting cases. The theory predicts the reentrant behavior of the breathing mode frequency when moving from the Tonks to the Gaussian regime and fully explains the recent experiment of the Innsbruck group
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5

Latt, Kyaw Zin. "Interactions of Two Dimensional Surface State Electron Gas with Zero, One and Two Dimensional Structures." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1383242271.

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6

Parthangal, Prahalad Madhavan. "Synthesis and integration of one-dimensional nanostructures for chemical gas sensing applications." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6881.

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Анотація:
Thesis (Ph. D.) -- University of Maryland, College Park, 2007.
Thesis research directed by: Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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7

Tang, Zifan. "One-dimensional mechanistic modelling of gas-liquid two phase flow in pipes." Thesis, Imperial College London, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284815.

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8

Mukherjee, Tamal. "One Dimensional Air System Modeling of Advanced Technology Compressed Natural Gas Engines." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397776678.

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9

De, Rosi Giulia. "Collective oscillations of a trapped atomic gas in low dimensions and thermodynamics of one-dimensional Bose gas." Doctoral thesis, Università degli studi di Trento, 2017. https://hdl.handle.net/11572/368019.

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Ultracold atoms are exceptional tools to explore the physics of quantum matter. In fact, the high degree of tunability of ultracold Bose and Fermi gases makes them ideal systems for quantum simulation and for investigating macroscopic manifestations of quantum effects, such as superfluidity. In ultracold gas research, a central role is played by collective oscillations. They can be used to study different dynamical regimes, such as superfluid, collisional, or collisionless limits or to test the equation of state of the system. In this thesis, we present a unified description of collective oscillations in low dimensions covering both Bose and Fermi statistics, different trap geometries and zero as well as finite temperature, based on the formalism of hydrodynamics and sum rules. We discuss the different behaviour exhibited by the second excited breathing mode in the collisional regime at low temperature and in the collisionless limit at high temperature in a 1D trapped Bose gas with repulsive contact interaction. We show how this mode exhibits a single-valued excitation spectrum in the collisional regime and two different frequencies in the collisionless limit. Our predictions could be important for future research related to the thermalization and damping phenomena in this low-dimensional system. We show that 1D uniform Bose gases exhibit a non-monotonic temperature dependence of the chemical potential characterized by an increasing-with-temperature behaviour at low temperature. This is due to the thermal excitation of phonons and reveals an interesting analogy with the behaviour of superfluids. Finally, we investigate a gas with a finite number N of atoms in a ring geometry at T = 0. We discuss explicitly the deviations of the thermodynamic behaviour in the ring from the one in the large N limit.
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10

De, Rosi Giulia. "Collective oscillations of a trapped atomic gas in low dimensions and thermodynamics of one-dimensional Bose gas." Doctoral thesis, University of Trento, 2017. http://eprints-phd.biblio.unitn.it/2066/1/PhD_DeRosi.pdf.

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Анотація:
Ultracold atoms are exceptional tools to explore the physics of quantum matter. In fact, the high degree of tunability of ultracold Bose and Fermi gases makes them ideal systems for quantum simulation and for investigating macroscopic manifestations of quantum effects, such as superfluidity. In ultracold gas research, a central role is played by collective oscillations. They can be used to study different dynamical regimes, such as superfluid, collisional, or collisionless limits or to test the equation of state of the system. In this thesis, we present a unified description of collective oscillations in low dimensions covering both Bose and Fermi statistics, different trap geometries and zero as well as finite temperature, based on the formalism of hydrodynamics and sum rules. We discuss the different behaviour exhibited by the second excited breathing mode in the collisional regime at low temperature and in the collisionless limit at high temperature in a 1D trapped Bose gas with repulsive contact interaction. We show how this mode exhibits a single-valued excitation spectrum in the collisional regime and two different frequencies in the collisionless limit. Our predictions could be important for future research related to the thermalization and damping phenomena in this low-dimensional system. We show that 1D uniform Bose gases exhibit a non-monotonic temperature dependence of the chemical potential characterized by an increasing-with-temperature behaviour at low temperature. This is due to the thermal excitation of phonons and reveals an interesting analogy with the behaviour of superfluids. Finally, we investigate a gas with a finite number N of atoms in a ring geometry at T = 0. We discuss explicitly the deviations of the thermodynamic behaviour in the ring from the one in the large N limit.
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Книги з теми "One-Dimensional gas"

1

Toro, E. F. Random-choice based hybrid methods for one and two dimensional gas dynamics. Cranfield, U.K: College of Aeronautics, Cranfield Institute of Technology, 1988.

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2

Patin, R. M. A one-dimensional simulation model for a two stage light gas gun with deformable piston. New York: AIAA, 1986.

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3

Witte, David W. Computer code for determination of thermally perfect gas properties. Hampton: National Aeronautics and Space Administration, Langley Research Center, 1994.

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4

E, Tatum Kenneth, and Langley Research Center, eds. Computer code for determination of thermally perfect gas properties. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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5

J, Kelly M. Low-dimensional semiconductors: Materials, physics, technology, devices. Oxford: Clarendon Press, 1995.

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6

NATO Advanced Research Workshop on Optical Properties of Narrow-Gap Low-Dimensional Structures (1986 St. Andrews, Scotland). Optical properties of narrow-gap low-dimensional structures. New York: Plenum Press, 1987.

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7

Tuenter, Hans J. H. Worst-case bounds for bin-packing heuristics with applications to the duality gap of the one-dimensional cutting stock problem. Birmingham: University of Birmingham, 1996.

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8

Thyagaraja, A., and D. F. Fletcher. CUDGEL: A One-dimensional Transient Simulation of Excimer Laser Gas Dynamics (Reports). AEA Technology Plc, 1989.

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9

Ferguson, Roderick A. One-Dimensional Queer. Polity Press, 2018.

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10

Ferguson, Roderick A. One-Dimensional Queer. Polity Press, 2018.

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Частини книг з теми "One-Dimensional gas"

1

Babu, V. "One-Dimensional Flows—Basics." In Fundamentals of Gas Dynamics, 9–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60819-4_2.

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2

Babu, V. "Quasi One Dimensional Flows." In Fundamentals of Gas Dynamics, 69–102. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60819-4_6.

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3

Kaushik, Mrinal. "Steady One-Dimensional Flows." In Fundamentals of Gas Dynamics, 137–92. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9085-3_4.

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4

Ponzoni, Andrea, Guido Faglia, and Giorgio Sberveglieri. "Quasi One-Dimensional Metal Oxide Nanostructures for Gas Sensors." In One-Dimensional Nanostructures, 435–53. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118310342.ch20.

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5

Verma, Gulshan, and Ankur Gupta. "One-Dimensional Nanostructures for Gas Sensing Applications." In Gas Sensors, 169–84. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003278047-12.

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6

Kaushik, Mrinal. "Steady One-Dimensional Isentropic Flow in a Variable-Area Duct." In Fundamentals of Gas Dynamics, 297–340. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9085-3_6.

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7

Bedrikovetsky, Pavel, and Gren Rowan. "One-Dimensional Displacement of Oil by Chemical Solutions." In Mathematical Theory of Oil and Gas Recovery, 88–126. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2205-6_5.

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8

Zhang, Jun, and Xianghong Liu. "One-Dimensional Nanowire-Based Heterostructures for Gas Sensors." In Nanostructure Science and Technology, 201–35. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2367-6_7.

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9

Pirjol, Dan. "One-Dimensional Lattice Gas with Exponential Attractive Potentials." In Stochastic Exponential Growth and Lattice Gases, 77–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11143-3_5.

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10

Emery, V. J. "Theory of the one- and two-Dimensional Electron Gas." In Organic and Inorganic Low-Dimensional Crystalline Materials, 175–83. New York, NY: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4899-2091-1_12.

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Тези доповідей конференцій з теми "One-Dimensional gas"

1

Kinoshita, T., T. Wenger, and D. S. Weiss. "Experimental studies of one dimensional Bose gas." In International Quantum Electronics Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/iqec.2005.1561140.

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2

Karpiuk, Tomasz, Piotr Deuar, Przemysław Bienias, Emilia Witkowska, Krzysztof Pawłowski, Mariusz Gajda, Kazimierz Rzążewski, and Mirosław Brewczyk. "Solitons in quasi one dimensional Bose gas." In Conference on Coherence and Quantum Optics. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/cqo.2013.m4a.2.

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3

Chacón-Acosta, Guillermo, and Héctor H. Hernández. "One-dimensional polymer Fermi gas at zero temperature." In IX MEXICAN SCHOOL ON GRAVITATION AND MATHEMATICAL PHYSICS: COSMOLOGY FOR THE XXIST CENTURY: Gravitation and Mathematical Physics Division of the Mexican Physical Society (DGFM-SMF). AIP, 2013. http://dx.doi.org/10.1063/1.4817040.

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4

Adzhiev, S. Z. "On One-dimensional Discrete Velocity Models of The Boltzmann Equation For Mixtures." In RAREFIED GAS DYNAMICS: 24th International Symposium on Rarefied Gas Dynamics. AIP, 2005. http://dx.doi.org/10.1063/1.1941524.

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5

Ribi, Beat, and Peter Dalbert. "One-Dimensional Performance Prediction of Subsonic Vaned Diffusers." In ASME 1999 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/99-gt-433.

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A simple 1-d-theory to predict the performance of a diffuser using as few empirical factors as possible is presented. The prediction method uses two empirical functions to assess both the pressure recovery and the losses. The functions have been calibrated from experimental data from the company’s standard diffusers. The method is, however, adaptable for any type of subsonic vaned diffusers provided that the empirical functions can be calibrated from measurements. The pressure rise in the diffuser is calculated from the continuity equation taking into account the blockage, while the losses are determined by means of displacement and momentum thickness. These values are calculated at design point from an integral boundary layer calculation. To take into account the influence of flow separation at off-design the calculated displacement and momentum thickness are increased according to empirical functions. When designing a new impeller the method provides a simple way to evaluate the diffuser resulting in the best combination in terms of efficiency and range. It further provides a simple means of estimating the change to be expected in a known stage performance characteristic due to a modification of the diffuser geometry.
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6

Liu, Pingan, Jinlong He, Yalan He, and Zhi Hong. "THz gas sensor based on one-dimensional photonic crystal." In Photonics and Optoelectronics Meetings 2011, edited by Jianquan Yao, X. C. Zhang, Dapeng Yan, and Jinsong Liu. SPIE, 2012. http://dx.doi.org/10.1117/12.919002.

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Kumar, Vivek, and P. K. Gupta. "Nonlinear one-dimensional seismic waveform inversion using Harmony search." In Istanbul 2012 - International Geophysical Conference and Oil & Gas Exhibition. Society of Exploration Geophysicists and The Chamber of Geophysical Engineers of Turkey, 2012. http://dx.doi.org/10.1190/ist092012-001.165.

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8

Johnson, Mark S. "One-Dimensional, Stage-by-Stage, Axial Compressor Performance Model." In ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/91-gt-192.

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This paper presents a description of a one-dimensional, constant-radius, stage-by-stage (blade-element) axial compressor model used for compressor map generation and gas turbine off-design performance prediction. This model is designed for investigators who are without access to the proprietary compressor performance information of the gas turbine manufacturers but who are nevertheless interested in predicting the off-design performance of large utility gas turbine power systems. Model performance results (compressor maps) are reported for simulation of a nineteen-stage axial compressor designed by Allison Gas Turbine for the Electric Power Research Institute. The model is further demonstrated by simulating the NACA Eight Stage compressor. The resulting compressor maps are in good qualitative agreement with published maps and are useful for gas turbine power system performance simulation studies. This general-purpose modeling procedure can be applied to any axial compressor for which sufficient airfoil geometry and design-point performance information is known.
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9

Botros, K. K., M. J. de Boer, G. R. Price, and G. Kibrya. "One-Dimensional Predictive Emission Monitoring Model for Gas Turbine Combustors." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-414.

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Current predictive emission monitoring (PEM) techniques are briefly reviewed and the concept for a general predictive model was favorably evaluated. Utilizing the commercial process simulation software ASPEN PLUS®, a one dimensional model based on fundamental principles of gas turbine thermodynamics and combustion processes was constructed. Employing a set of 22 reactions including the Zeldovich mechanism, the model predicted for thermal NOx formation. It accounted for combustor geometry, dilution air injection along the combustor annulus, convective heat transfer across the liner, flame length, and full-load inlet flows. The combustor was subdivided into slices, each of which was modeled by a plug flow reactor, giving insight into profiles of NOx formation, species concentration and temperature along the combustor’s length, as well as quantifying the residence time in the combustor. The simulation predicted the levels of NOx for a particular gas turbine combustor and determined the effects of various parameters, such as flame length, hydrocarbon conversion ratio and recycle zones.
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10

Li, Jun-Jian, Han-qiao Jiang, and Qi Zhou. "Analytical Solution for One-Dimensional Four-Component Flue Gas Displacement." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918172.

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Звіти організацій з теми "One-Dimensional gas"

1

Roy S. Baty, F. Farassat, John A. Hargreaves. Nonstandard Analysis and Shock Wave Jump Conditions in a One-Dimensional Compressible Gas. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/913104.

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2

Hoppel, William A., Peter Caffrey, and Glendon M. Frick. Addition of Vertical Velocity to a One-Dimensional Aerosol and Trace Gas Model. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada430126.

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3

Berns, David M., and T. P. Orlando. Implementation Schemes for the Factorized Quantum Lattice-Gas Algorithm for the One Dimensional Diffusion Equation using Persistent-Current Qubits. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada496010.

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4

Larciprete, Maria C. Development of One-Dimensional Dielectric and Metal-Dielectric Photonic Band Gap for Optical Switching and Limiting Applications. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada457953.

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5

Psuty, Norbert, Tanya Silveira, Andrea Habeck, Dennis Skidds, Sara Stevens, Katy Ames, and Glenn Liu. Northeast Coastal and Barrier Network geomorphological monitoring protocol: Part II ? coastal topography, version 2. National Park Service, 2024. http://dx.doi.org/10.36967/2301966.

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Coastal topography was ranked as one of the most important variables for monitoring following a review of potential vital signs in the coastal parks of the Northeast Coastal and Barrier Network (NCBN). Changes in coastal topography, whether caused by erosion or accretion, vary both spatially and temporally. Understanding these variations is key to early recognition of potential problems affecting natural and cultural resources in coastal parks. For managers, understanding spatial and temporal patterns of geomorphologic change is basic to optimal management of any coastal park because the interface of marine and land systems 1) is highly dynamic and driven by multiple forcing mechanisms, 2) results in alterations to resource patterns and dynamics at habitat and ecosystem levels, and 3) can eventually result in the loss of static resources. The establishment of local, long-term monitoring programs help us to understand the processes that are driving coastal change of beaches, dunes, and bluffs within the parks. This Coastal Topography Monitoring Protocol has been developed for use in the Northeast Coastal and Barrier Network parks. Monitoring is accomplished with survey-grade Global Positioning System (GPS)/Global Navigation Satellite Systems (GNSS) equipment that collects topographic data along pre-established transects spaced at regular intervals, augmented by more intense data-collection in areas of special concern to the parks. A network of high-quality survey control monuments (often referred to as benchmarks), used as accuracy assessment reference is located within each of the NCBN parks, providing a robust basis for long-term monitoring. Spring and/or fall surveys conducted in accordance with standard operating procedures generate coastal topography datasets that are organized and assembled by the NCBN data manager into a database for analysis and archival purposes. Dimensional parameters are measured to describe the beach-dune-bluff system, and attributes are compared and analyzed in a cross-shore and alongshore perspective, providing information about the temporal and spatial changes on beach-dune-bluff morphologies in the parks. The overall goal is to create a replicable means of data gathering that is efficient, adheres to scientific principles, and meets the management needs of the coastal parks.
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6

Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are obtained by manual sampling of the filed in a grid pattern. Maps of various field attributes are then prepared from these samples by the "Inverse Distance" interpolation method or by Kriging. An improved interpolation method was developed which is based on minimizing the overall curvature of the resulting map. Such maps are the ground truth reference, used for training the algorithm that generates the predicted field maps from remote sensing imagery. Both the reference and the predicted maps are stratified into "Prototype Plots", e.g. 15xl5 blocks of 2m pixels whereby the block size is 30x30m. This averaging reduces the datasets to manageable size and significantly improves the typically poor repeatability of remote sensing imaging systems. In the first two years of the project we used the Normalized Difference Vegetation Index (NDVI), for generating predicted yield maps of sugar beets and com. The NDVI was computed from image cubes of three spectral bands, generated by an optically filtered three camera video imaging system. A two dimensional FFT based regression model Y=f(X), was used wherein Y was the reference map and X=NDVI was the predictor. The FFT regression method applies the "Wavelet Based", "Pixel Block" and "Image Rotation" transforms to the reference and remote images, prior to the Fast - Fourier Transform (FFT) Regression method with the "Phase Lock" option. A complex domain based map Yfft is derived by least squares minimization between the amplitude matrices of X and Y, via the 2D FFT. For one time predictions, the phase matrix of Y is combined with the amplitude matrix ofYfft, whereby an improved predicted map Yplock is formed. Usually, the residuals of Y plock versus Y are about half of the values of Yfft versus Y. For long term predictions, the phase matrix of a "field mask" is combined with the amplitude matrices of the reference image Y and the predicted image Yfft. The field mask is a binary image of a pre-selected region of interest in X and Y. The resultant maps Ypref and Ypred aremodified versions of Y and Yfft respectively. The residuals of Ypred versus Ypref are even lower than the residuals of Yplock versus Y. The maps, Ypref and Ypred represent a close consensus of two independent imaging methods which "view" the same target. In the last two years of the project our remote sensing capability was expanded by addition of a CASI II airborne hyperspectral imaging system and an ASD hyperspectral radiometer. Unfortunately, the cross-noice and poor repeatability problem we had in multi-spectral imaging was exasperated in hyperspectral imaging. We have been able to overcome this problem by over-flying each field twice in rapid succession and developing the Repeatability Index (RI). The RI quantifies the repeatability of each spectral band in the hyperspectral image cube. Thereby, it is possible to select the bands of higher repeatability for inclusion in the prediction model while bands of low repeatability are excluded. Further segregation of high and low repeatability bands takes place in the prediction model algorithm, which is based on a combination of a "Genetic Algorithm" and Partial Least Squares", (PLS-GA). In summary, modus operandi was developed, for deriving important plant growth attribute maps (yield, leaf nitrate, biomass and sugar percent in beets), from remote sensing imagery, with sufficient accuracy for precision cropping applications. This achievement is remarkable, given the inherently high cross-noice between the reference and remote imagery as well as the highly non-repeatable nature of remote sensing systems. The above methodologies may be readily adopted by commercial companies, which specialize in proving remotely sensed data to farmers.
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