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Books on the topic 'Diagram correlation'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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1

O'Sullivan, Robert Brett. Correlation of Jurassic San Rafael group, Junction Creek Sandstone, and related rocks from McElmo Canyon to Salter Canyon in Southwestern Colorado. U.S. Geological Survey, 1995.

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2

O'Sullivan, Robert Brett. Correlation of Middle Jurassic and related rocks from Slick Rock to Salter Canyon in southwestern Colorato. U.S. Geological Survey, 1995.

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3

1937-, Klomínský Josef, and Český geologický ústav Praha, eds. Geologický atlas České Republiky.: Geological atlas of the Czech Republic. Český geologický ústav, 1994.

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4

Barthel, Josef. Electrolyte data collection: Tables, diagrams, correlations, and literature survey. DECHEMA, 1992.

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5

Barthel, Josef. Electrolyte data collection.: Tables, diagrams, correlations and literature survey. DECHEMA, 1993.

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6

United Nations. Economic and Social Commission for Asia and the Pacific. Stratigraphic correlation between sedimentary basins of the ESCAP region, volume XII: ESCAP atlas of stratigraphy VI : Socialist Republic of Viet Nam. United Nations, 1986.

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7

United Nations. Economic and Social Commission for Asia and the Pacific. Stratigraphic correlation between sedimentary basins of the ESCAP region, volume XI: ESCAP atlas of stratigraphy V : Republic of Korea. United Nations, 1985.

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8

United Nations. Economic and Social Commission for Asia and the Pacific. Stratigraphic correlation between sedimentary basins of the ESCAP region, volume X ; ESCAP atlas of stratigraphy IV: People's Republic of China. United Nations, 1985.

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9

Pacific, United Nations Economic and Social Commission for Asia and the. Stratigraphic correlation between sedimentary basins of the ESCAP region, volume XIII: ESCAP atlas of stratigraphy VII : Triassic of Asia, Australia, and the Pacific. United Nations, 1988.

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10

Ruppert, Leslie F. Correlation chart of Pennsylvanian rocks in Alabama, Tennessee, Kentucky, Virginia, West Virginia, Ohio, Maryland, and Pennsylvania showing approximate portion of coal beds, coal zones, and key stratigraphic units. U.S. Dept. of the Interior, U.S. Geologic Survey, 2010.

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11

Pacific, United Nations Economic and Social Commission for Asia and the. Stratigraphic correlation between sedimentary basins of the ESCAP region, volume XIV: ESCAP atlas of stratigraphy VIII : Afghanistan, Australia. United Nations, 1990.

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12

Gmehling, Jürgen. Vapor-liquid equilibrium data collection: Tables and diagrams of data for binary and multicomponent mixtures up to moderate pressures. Constants of correlation equations for computer use. DECHEMA, 1991.

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13

Bertel, E., and A. Menzel. Nanostructured surfaces: Dimensionally constrained electrons and correlation. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.11.

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This article examines dimensionally constrained electrons and electronic correlation in nanostructured surfaces. Correlation effects play an important role in spatial confinement of electrons by nanostructures. The effect of correlation will become increasingly dominant as the dimensionality of the electron wavefunction is reduced. This article focuses on quasi-one-dimensional (quasi-1D) confinement, i.e. more or less strongly coupled one-dimensional nanostructures, with occasional reference to 2D and 0D systems. It first explains how correlated systems exhibit a variety of electronically driv
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14

Vu, Khuc, Xuan Bao Nguyen, and Van Cu Le. Stratigraphic Correlation Between Sedimentary Basins of the Escap Region (ESCAP Atlas of Stratigraphy IV). United Nations, 1986.

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15

Horing, Norman J. Morgenstern. Random Phase Approximation Plasma Phenomenology, Semiclassical and Hydrodynamic Models; Electrodynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0010.

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Chapter 10 reviews both homogeneous and inhomogeneous quantum plasma dielectric response phenomenology starting with the RPA polarizability ring diagram in terms of thermal Green’s functions, also energy eigenfunctions. The homogeneous dynamic, non-local inverse dielectric screening functions (K) are exhibited for 3D, 2D, and 1D, encompassing the non-local plasmon spectra and static shielding (e.g. Friedel oscillations and Debye-Thomas-Fermi shielding). The role of a quantizing magnetic field in K is reviewed. Analytically simpler models are described: the semiclassical and classical limits an
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16

Morawetz, Klaus. Approximations for the Selfenergy. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797241.003.0010.

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The systematic expansion of the selfenergy is presented with the help of the closure relation of chapter 7. Besides Hartree–Fock leading to meanfield kinetic equations, the random phase approximation (RPA) is shown to result into the Lennard–Balescu kinetic equation, and the ladder approximation into the Beth–Uehling–Uhlenbeck kinetic equation. The deficiencies of the ladder approximation are explored compared to the exact T-matrix by missing maximally crossed diagrams. The T-matrix provides the Bethe–Salpeter equation for the two-particle correlation functions. Vertex corrections to the RPA a
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17

Bianconi, Ginestra. Classical Percolation, Generalized Percolation and Cascades. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0012.

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This chapter characterizes the robustness of multiplex and multilayer networks using classical percolation, directed percolation and antagonistic percolation. Classical percolation determines whether a finite fraction of nodes of the multilayer networks are connected by any type of connection. Classical percolation can be affected by multiplexity since the degree correlations among different layers can modulate the robustness of the entire multilayer network. Directed percolation describes the propagation of a disease requiring cooperative infection from different layers of the multiplex netwo
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18

(Editor), Jurgen Gmehling, and U. Onken (Editor), eds. Vapor-Liquid Equilibrium Data Collection: Ethers (Supplement 2) : Tables and Diagrams of Data for Binary and Multicomponent Mixtures Up to Moderate Pressures. Constants of Correlation equatio. Dechema, 1999.

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19

Horing, Norman J. Morgenstern. Equations of Motion with Particle–Particle Interactions and Approximations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0008.

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Starting with the equation of motion for the field operator ψ(x,t) of an interacting many-particle system, the n-particle Green’s function (Gn) equation of motion is developed, with interparticle interactions generating an infinite chain of equations coupling it to (n+1)- and (n−1)-particle Green’s functions (Gn+1 and Gn−1, respectively). Particularly important are the one-particle Green’s function equation with its coupling to the two-particle Green’s function and the two-particle Green’s function equation with its coupling to the three-particle Green’s function. To develop solutions, it is n
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