scholarly journals Role of hybridization in the superconducting properties of an extended d–p Hubbard model: a detailed numerical study

2005 ◽  
Vol 359-361 ◽  
pp. 560-562 ◽  
Author(s):  
E.J. Calegari ◽  
S.G. Magalhães ◽  
A.A. Gomes
Keyword(s):  
Hubbard Model ◽  
Numerical Study ◽  
Superconducting Properties

ROLE OF HYBRIDIZATION IN THE SUPERCONDUCTING PROPERTIES OF AN EXTENDED d–p HUBBARD MODEL

2004 ◽  
Vol 18 (02) ◽  
pp. 241-252 ◽  
Author(s):  
E. J. CALEGARI ◽  
S. G. MAGALHÃES ◽  
A. A. GOMES
Keyword(s):  
Hubbard Model ◽  
Order Parameter ◽  
Superconducting Order Parameter ◽  
Superconducting Properties

In this work the variational Roth's approach previously developed by the present authors to describe cuprate systems is extended to include the superconducting properties. We extend the Beenen and Edwards approach by including the d–p hybridization. The role of the d–p hybridization in modifying the values of superconducting order parameter is then studied in terms of the adopted values of the parameters defining the Hamiltonian of the system.

scholarly journals Pairing correlations in the cuprates: A numerical study of the three-band Hubbard model

2021 ◽  
Vol 103 (14) ◽  
Author(s):  
Peizhi Mai ◽  
Giovanni Balduzzi ◽  
Steven Johnston ◽  
Thomas A. Maier
Keyword(s):  
Hubbard Model ◽  
Numerical Study ◽  
Pairing Correlations

Numerical study of CO2 injection and the role of viscous crossflow in near-miscible CO2-WAG

2020 ◽  
Vol 74 ◽  
pp. 103112 ◽  
Author(s):  
Gang Wang ◽  
Gillian Pickup ◽  
Kenneth Sorbie ◽  
Eric Mackay ◽  
Arne Skauge
Keyword(s):  
Numerical Study ◽  
Co2 Injection

Some results of numerical study on the role of tribofilms formed during automotive braking

2014 ◽  
Author(s):  
Andrey I. Dmitriev ◽  
Heinz Kloß ◽  
Werner Österle
Keyword(s):  
Numerical Study

The Role of Turbulence Models for Predicting a Thermal Stratification

2006 ◽  
Vol 128 (4) ◽  
pp. 656-662 ◽  
Author(s):  
Seok-Ki Choi ◽  
Seong-O Kim
Keyword(s):  
Liquid Metal ◽  
Thermal Stratification ◽  
Transport Model ◽  
Numerical Study ◽  
Turbulence Models ◽  
Liquid Metal Reactor ◽  
Temporal Oscillation ◽  
Elliptic Relaxation ◽  
Shear Stress Transport Model

A numerical study of the evaluation of turbulence models for predicting the thermal stratification phenomenon is presented. The tested models are the elliptic blending turbulence model (EBM), the two-layer model, the shear stress transport model (SST), and the elliptic relaxation model (V2-f). These four turbulence models are applied to the prediction of a thermal stratification in an upper plenum of a liquid metal reactor experimented at the Japan Nuclear Cooperation (JNC). The EBM and V2-f models predict properly the steep gradient of the temperature at the interface of the cold and hot regions that is observed in the experimental data, and the EBM and V2-f models have the capability of predicting the temporal oscillation of the temperature. The two-layer and SST models predict the diffusive temperature gradient at the interface of a thermal stratification and fail to predict a temporal oscillation of the temperature. In general, the EBM predicts best the thermal stratification phenomenon in the upper plenum of the liquid metal reactor.

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