Literatura académica sobre el tema "Dynamical Correlation"
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Artículos de revistas sobre el tema "Dynamical Correlation"
Handy, Nicholas C. y Aron J. Cohen. "A dynamical correlation functional". Journal of Chemical Physics 116, n.º 13 (abril de 2002): 5411–18. http://dx.doi.org/10.1063/1.1457432.
Texto completoMok, Daniel K. W., Ralf Neumann y Nicholas C. Handy. "Dynamical and Nondynamical Correlation". Journal of Physical Chemistry 100, n.º 15 (enero de 1996): 6225–30. http://dx.doi.org/10.1021/jp9528020.
Texto completoAnishchenko, V. S., T. E. Vadivasova, G. A. Okrokvertskhov y G. I. Strelkova. "Correlation analysis of dynamical chaos". Physica A: Statistical Mechanics and its Applications 325, n.º 1-2 (julio de 2003): 199–212. http://dx.doi.org/10.1016/s0378-4371(03)00199-7.
Texto completoHotta, Takashi y Yasutami Takada. "Dynamical localization and electron correlation". Czechoslovak Journal of Physics 46, S5 (mayo de 1996): 2625–26. http://dx.doi.org/10.1007/bf02570299.
Texto completoDubin, Joel A. y Hans-Georg Müller. "Dynamical Correlation for Multivariate Longitudinal Data". Journal of the American Statistical Association 100, n.º 471 (septiembre de 2005): 872–81. http://dx.doi.org/10.1198/016214504000001989.
Texto completoKalman, G., K. Kempa y M. Minella. "Dynamical correlation effects in alkali metals". Physical Review B 43, n.º 17 (15 de junio de 1991): 14238–40. http://dx.doi.org/10.1103/physrevb.43.14238.
Texto completoEvangelisti, Stefano, Thierry Leininger y Daniel Maynau. "A local approach to dynamical correlation". Journal of Molecular Structure: THEOCHEM 580, n.º 1-3 (marzo de 2002): 39–46. http://dx.doi.org/10.1016/s0166-1280(01)00593-0.
Texto completoBecker, K. W. y W. Brenig. "Cumulant approach to dynamical correlation functions". Zeitschrift f�r Physik B Condensed Matter 79, n.º 2 (junio de 1990): 195–201. http://dx.doi.org/10.1007/bf01406585.
Texto completoValderrama, E., J. M. Mercero y J. M. Ugalde. "The separation of the dynamical and non-dynamical electron correlation effects". Journal of Physics B: Atomic, Molecular and Optical Physics 34, n.º 3 (18 de enero de 2001): 275–83. http://dx.doi.org/10.1088/0953-4075/34/3/306.
Texto completoRamachandran, B. "Scaling Dynamical Correlation Energy from Density Functional Theory Correlation Functionals†". Journal of Physical Chemistry A 110, n.º 2 (enero de 2006): 396–403. http://dx.doi.org/10.1021/jp050584x.
Texto completoTesis sobre el tema "Dynamical Correlation"
Kobayashi, Miki U. "Determination of dynamical correlation functions in chaotic systems". 京都大学 (Kyoto University), 2008. http://hdl.handle.net/2433/136009.
Texto completoGuzzo, Matteo. "Dynamical correlation in solids : a perspective in photoelectron spectroscopy". Phd thesis, Ecole Polytechnique X, 2012. http://pastel.archives-ouvertes.fr/pastel-00784815.
Texto completoTupikina, Liubov. "Temporal and spatial aspects of correlation networks and dynamical network models". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17746.
Texto completoIn the thesis I studied the complex architectures of networks, the network evolution in time, the interpretation of the networks measures and a particular class of processes taking place on complex networks. Firstly, I derived the measures to characterize temporal networks evolution in order to detect spatial variability patterns in evolving systems. Secondly, I introduced a novel flow-network method to construct networks from flows, that also allows to modify the set-up from purely relying on the velocity field. The flow-network method is developed for correlations of a scalar quantity (temperature, for example), which satisfies advection-diffusion dynamics in the presence of forcing and dissipation. This allows to characterize transport in the fluids, to identify various mixing regimes in the flow and to apply this method to advection-diffusion dynamics, data from climate and other systems, where particles transport plays a crucial role. Thirdly, I developed a novel Heterogeneous Opinion-Status model (HOpS) and analytical technique to study dynamical processes on networks. All in all, methods, derived in the thesis, allow to quantify evolution of various classes of complex systems, to get insight into physical meaning of correlation networks and analytically to analyze processes, taking place on networks.
Vanzini, Marco. "Auxiliary systems for observables : dynamical local connector approximation for electron addition and removal spectra". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLX012/document.
Texto completoThis thesis proposes an innovative theoretical method for studying one-electron excitation spectra, as measured in photoemission and inverse photoemission spectroscopy.The current state-of-the-art realistic calculations rely usually on many-body Green’s functions and complex, non-local self energies, evaluated specifically for each material. Even when the calculated spectra are in very good agreement with experiments, the computational cost is very large. The reason is that the method itself is not efficient, as it yields much superfluous information that is not needed for the interpretation of experimental data.In this thesis we propose two shortcuts to the standard method. The first one is the introduction of an auxiliary system that exactly targets, in principle, the excitation spectrum of the real system. The prototypical example is density functional theory, in which the auxiliary system is the Kohn-Sham system: it exactly reproduces the density of the real system via a real and static potential, the Kohn-Sham potential. Density functional theory is, however, a ground state theory, which hardly yields excited state properties: an example is the famous band-gap problem. The potential we propose (the spectral potential), local and frequency-dependent, yet real, can be viewed as a dynamical generalisation of the Kohn-Sham potential which yields in principle the exact spectrum.The second shortcut is the idea of calculating this potential just once and forever in a model system, the homogeneous electron gas, and tabulating it. To study real materials, we design a connector which prescribes the use of the gas results for calculating electronic spectra.The first part of the thesis deals with the idea of auxiliary systems, showing the general framework in which they can be introduced and the equations they have to fulfill. We then use exactly-solvable Hubbard models to gain insight into the role of the spectral potential; in particular, it is shown that a meaningful potential can be defined wherever the spectrum is non-zero, and that it always yields the expected spectra, even when the imaginary or the non-local parts of the self energy play a prominent role.In the second part of the thesis, we focus on calculations for real systems. We first evaluate the spectral potential in the homogeneous electron gas, and then import it in the auxiliary system to evaluate the excitation spectrum. All the non-trivial interplay between electron interaction and inhomogeneity of the real system enters the form of the connector. Finding an expression for it is the real challenge of the procedure. We propose a reasonable approximation for it, based on local properties of the system, which we call dynamical local connector approximation.We implement this procedure for four different prototypical materials: sodium, an almost homogeneous metal; aluminum, still a metal but less homogeneous; silicon, a semiconductor; argon, an inhomogeneous insulator. The spectra we obtain with our approach agree to an impressive extent with the ones evaluated via the computationally expensive self energy, demonstrating the potential of this theory
Hagy, Matthew Canby. "Dynamical simulation of structured colloidal particles". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50328.
Texto completoThunström, Patrik. "Correlated Electronic Structure of Materials : Development and Application of Dynamical Mean Field Theory". Doctoral thesis, Uppsala universitet, Materialteori, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-173300.
Texto completoAvila, Karina E. "Dynamical Heterogeneity in Granular Fluids and Structural Glasses". Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1389072160.
Texto completoLacevic, Naida. "Dynamical heterogeneity in simulated glass-forming liquids studied via a four-point spatiotemporal density correlation function". Available to US Hopkins community, 2003. http://wwwlib.umi.com/dissertations/dlnow/3080704.
Texto completoLott, Geoffrey Adam 1980. "Probing local conformation and dynamics of molecular complexes using phase-selective fluorescence correlation and coherence spectroscopy". Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/10914.
Texto completoWhen two or more fluorescent chromophores are closely spaced in a macromolecular complex, dipolar coupling leads to delocalization of the excited states, forming excitons. The relative transition frequencies and magnitudes are sensitive to conformation, which can then be studied with optical spectroscopy. Non-invasive fluorescence spectroscopy techniques are useful tools for the study of dilute concentrations of such naturally fluorescent or fluorescently labeled biological systems. This dissertation presents two phase-selective fluorescence spectroscopy techniques for the study of dynamical processes in bio-molecular systems across a wide range of timescales. Polarization-modulated Fourier imaging correlation spectroscopy (PM-FICS) is a novel phase-selective fluorescence spectroscopy for simultaneous study of translational and conformational dynamics. We utilize modulated polarization and intensity gratings with phase-sensitive signal collection to monitor the collective fluctuations of an ensemble of fluorescent molecules. The translational and conformational dynamics can be separated and analyzed separately to generate 2D spectral densities and joint probability distributions. We present results of PM-FICS experiments on DsRed, a fluorescent protein complex. Detailed information on thermally driven dipole-coupled optical switching pathways is found, for which we propose a conformation transition mechanism. 2D phase-modulation electronic coherence spectroscopy is a third-order nonlinear spectroscopy that uses collinear pulse geometry and acousto-optic phase modulation to isolate rephasing and nonrephasing contributions to the collected fluorescence signal. We generate 2D spectra, from which we are able to determine relative dipole orientations, and therefore structural conformation, in addition to detailed coupling information. We present results of experiments on magnesium tetraphenylporphyrin dimers in lipid vesicle bilayers. The 2D spectra show clearly resolved diagonal and off-diagonal features, evidence of exciton behavior. The amplitudes of the distinct spectral features change on a femtosecond timescale, revealing information on time-dependent energy transfer dynamics. This dissertation includes co-authored and previously published material.
Committee in charge: Hailin Wang, Chairperson, Physics; Andrew Marcus, Advisor, Chemistry; Stephen Gregory, Member, Physics; Michael Raymer, Member, Physics; Marina Guenza, Outside Member, Chemistry
Tupikina, Liubov [Verfasser], Jürgen [Gutachter] Kurths, Lutz [Gutachter] Schimansky-Geier y Sergei [Gutachter] Nechaev. "Temporal and spatial aspects of correlation networks and dynamical network models : analytical approaches and physical applications / Liubov Tupikina ; Gutachter: Jürgen Kurths, Lutz Schimansky-Geier, Sergei Nechaev". Berlin : Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://d-nb.info/1130698483/34.
Texto completoLibros sobre el tema "Dynamical Correlation"
Bakunin, Oleg G. Chaotic Flows: Correlation effects and coherent structures. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Buscar texto completoS, Sarkar, Gatski T. B y Langley Research Center, eds. Modeling the pressure-strain correlation of turbulence: An invariant dynamical systems approach. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.
Buscar texto completoSpeziale, Charles G. Modeling the pressure-strain correlation of turbulence - an invariant dynamical systems approach. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1990.
Buscar texto completoS, Sarkar, Gatski T. B y Langley Research Center, eds. Modeling the pressure-strain correlation of turbulence: An invariant dynamical systems approach. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.
Buscar texto completoH, McGuire J. Electron correlation dynamics in atomic collisions. Cambridge: Cambridge University Press, 1997.
Buscar texto completoSarkar, Shondeep L. Modeling the pressure-dilation correlation. Hampton, Va: National Aeronautics and Space Administration Langley Research Center, 1991.
Buscar texto completoCenter, Langley Research, ed. Modeling the pressure-dilation correlation. Hampton, Va: National Aeronautics and Space Administration Langley Research Center, 1991.
Buscar texto completoCondensed matter physics: Dynamic correlations. 2a ed. Menlo Park, Calif: Benjamin/Cummings, 1986.
Buscar texto completo1938-, Pecora Robert, ed. Dynamic light scattering: Applications of photon correlation spectroscopy. New York: Plenum Press, 1985.
Buscar texto completoRick, Lind, Brenner Martin J y United States. National Aeronautics and Space Administration., eds. Correlation filtering of modal dynamics using the Laplace wavelet. [Washington, DC: National Aeronautics and Space Administration, 1997.
Buscar texto completoCapítulos de libros sobre el tema "Dynamical Correlation"
Dyadyusha, G. G. y I. V. Repyakh. "Dynamical Correlation in Finite Polymethine Chains". En Electron-Electron Correlation Effects in Low-Dimensional Conductors and Superconductors, 100–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76753-1_13.
Texto completoPulay, Péter y Svein Saebø. "Strategies of Gradient Evaluation for Dynamical Electron Correlation". En Geometrical Derivatives of Energy Surfaces and Molecular Properties, 95–107. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4584-5_7.
Texto completoTurkowski, Volodymyr. "DMFT Exchange–Correlation Potentials for Static DFT". En Dynamical Mean-Field Theory for Strongly Correlated Materials, 341–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64904-3_11.
Texto completoSasaki, Kazuo. "Correlation Functions of the Non-Ideal Gas of Sine-Gordon Solitons". En Dynamical Problems in Soliton Systems, 122–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-02449-2_18.
Texto completoBlom, Kristian. "Global Speed Limit for Finite-Time Dynamical Phase Transition in Nonequilibrium Relaxation". En Pair-Correlation Effects in Many-Body Systems, 131–62. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29612-3_6.
Texto completoTurkowski, Volodymyr. "DMFT Exchange-Correlation Potentials for Time-Dependent DFT". En Dynamical Mean-Field Theory for Strongly Correlated Materials, 355–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64904-3_12.
Texto completoGallo, Paola y Mauro Rovere. "Dynamical Correlation Functions and Linear Response Theory for Fluids". En Physics of Liquid Matter, 195–219. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68349-8_6.
Texto completoZhou, Xiaokang y Qun Jin. "User Correlation Discovery and Dynamical Profiling Based on Social Streams". En Active Media Technology, 53–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35236-2_6.
Texto completoZhou, Xiaokang, Jian Chen, Qun Jin y Timothy K. Shih. "Learning Activity Sharing and Individualized Recommendation Based on Dynamical Correlation Discovery". En Advances in Web-Based Learning - ICWL 2012, 200–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33642-3_21.
Texto completoHanke, W. "Dynamical Correlation Effects on the Quasi-Particle Bloch States of a Semiconductor". En Proceedings of the 17th International Conference on the Physics of Semiconductors, 1005–8. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4615-7682-2_225.
Texto completoActas de conferencias sobre el tema "Dynamical Correlation"
Watanabe, Y., T. Yuasa, B. Devaraj y T. Akatsuka. "Tomographic imaging of dynamical characteristics in highly scattering media with heterodyne detection". En Photon Correlation and Scattering. Washington, D.C.: OSA, 2000. http://dx.doi.org/10.1364/pcs.2000.tuc4.
Texto completoSuzuki, Yoko. "Dynamical stokes shift observed by two-dimensional Raman spectroscopy". En International symposium on two-dimensional correlation spectroscopy. AIP, 2000. http://dx.doi.org/10.1063/1.1302889.
Texto completoMartin, James E. "Application of Dynamic Light Scattering to Aggregation and Gelation". En Photon Correlation Techniques and Applications. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/pcta.1988.dsopp208.
Texto completoNakayama, T. y K. Yakubo. "Dynamical correlation function of fractal networks: Computer experiments". En Slow dynamics in condensed matter. AIP, 1992. http://dx.doi.org/10.1063/1.42366.
Texto completoRuiz Gale, M. Fernanda, Elsa N. Hogert y Néstor G. Gaggioli. "An application of speckle correlation to dynamical surfaces". En Speckle06: Speckles, From Grains to Flowers, editado por Pierre Slangen y Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695478.
Texto completoKumar, Krishan, Vinayak Garg y R. K. Moudgil. "Dynamical correlation effects on pair-correlation functions of spin polarized two-dimensional electron gas". En PROCEEDING OF INTERNATIONAL CONFERENCE ON RECENT TRENDS IN APPLIED PHYSICS AND MATERIAL SCIENCE: RAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4810544.
Texto completoSutton, Mark. "Using x-ray correlation spectroscopy to test dynamical scaling". En Laser Science. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/ls.2009.lsthc3.
Texto completoPagano, Emanuele Vincenzo, L. Acosta, L. Auditore, T. Cap, G. Cardella, M. Casolino, E. De Filippo et al. "Signals for dynamical process from IMF-IMF correlation function". En 55th International Winter Meeting on Nuclear Physics. Trieste, Italy: Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.302.0022.
Texto completoSuthar, P. H. "Dynamical correlation in Zr80Pt20 metallic glass at various temperatures". En ADVANCES IN BASIC SCIENCE (ICABS 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5122409.
Texto completoDankovic, Bratislav, Dragan Antic, Zoran Jovanovic y Darko Mitic. "On a correlation between sensitivity and identificability of dynamical systems". En IEEE International Joint Conference on Computational Cybernetics and Technical Informatics (ICCC-CONTI 2010). IEEE 8th International Conference on Computational Cybernetics and 9th International Conference on Technical Informatics. IEEE, 2010. http://dx.doi.org/10.1109/icccyb.2010.5491249.
Texto completoInformes sobre el tema "Dynamical Correlation"
Cao, Jianshu y Gregory A. Voth. Semiclassical Approximations to Quantum Dynamical Time Correlation Functions. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1995. http://dx.doi.org/10.21236/ada300432.
Texto completoSoloviev, V. y V. Solovieva. Quantum econophysics of cryptocurrencies crises. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2464.
Texto completoZemach, Charles y Susan Kurien. Notes from 1999 on computational algorithm of the Local Wave-Vector (LWV) model for the dynamical evolution of the second-rank velocity correlation tensor starting from the mean-flow-coupled Navier-Stokes equations. Office of Scientific and Technical Information (OSTI), noviembre de 2016. http://dx.doi.org/10.2172/1332214.
Texto completoDuron, Ziyad, Enrique E. Matheu, Vincent P. Chiarito, John F. Hall y Michael K. Sharp. Dynamic Testing and Numerical Correlation Studies For Folsom Dam. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2005. http://dx.doi.org/10.21236/ada446669.
Texto completoIrwin, John. Model-Independent Analysis of Beam Dynamics with BPM Correlation Matrices. Office of Scientific and Technical Information (OSTI), julio de 1999. http://dx.doi.org/10.2172/9925.
Texto completoCarter, Emily A. New Methods for Treatment of Electron Correlation and Surface Dynamics. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1995. http://dx.doi.org/10.21236/ada296909.
Texto completoEngle, Robert y Kevin Sheppard. Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH. Cambridge, MA: National Bureau of Economic Research, octubre de 2001. http://dx.doi.org/10.3386/w8554.
Texto completoPulay, Peter y Jon Baker. Efficient Modeling of Large Molecules: Geometry Optimization Dynamics and Correlation Energy. Fort Belvoir, VA: Defense Technical Information Center, abril de 2003. http://dx.doi.org/10.21236/ada416248.
Texto completoWikswo, John P. Correlations Between Single Cell Signaling Dynamics and Protein Expressions Profiles. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2005. http://dx.doi.org/10.21236/ada437412.
Texto completoFromer, Neil Alan. Dynamics of Coulomb correlations in semiconductors in high magnetic fields. Office of Scientific and Technical Information (OSTI), enero de 2002. http://dx.doi.org/10.2172/799597.
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