scholarly journals Determination of the chemical potential using energy-biased sampling

2005 ◽  
Vol 123 (5) ◽  
pp. 054105 ◽  
Author(s):  
R. Delgado-Buscalioni ◽  
G. De Fabritiis ◽  
P. V. Coveney
1992 ◽  
Vol 45 (15) ◽  
pp. 8535-8541 ◽  
Author(s):  
E. H. Böttcher ◽  
N. Kirstaedter ◽  
M. Grundmann ◽  
D. Bimberg ◽  
R. Zimmermann ◽  
...  

2020 ◽  
Vol 196 ◽  
pp. 03005
Author(s):  
Vadim Bogdanov ◽  
Valerey Gavrilov ◽  
Sergey Pulinets ◽  
Dimitar Ouzounov

The experience of short-term forecasting of Kamchatka earthquakes based on complex well measurements at the Petropavlovsk-Kamchatsky geody-namic polygon (PGP) shows that, as a rule, the preparation of strong Kamchatka earthquakes is fairly reliable in the medium-term time scale (months or years be-fore the earthquake). However the determination of the stage beginning imme-diately preceding an earthquake (weeks or days before the main event) is a very difficult task. At present time, the solution of this problem is largely associated with the involvement in the preparation of forecast conclusions of data from continuous monitoring of the ionosphere, carried out by ground-based means of vertical radiosonding and measurements of total electronic content (TEC) using the global navigation satellite system GLONASS and GPS. This is due to the fact that significant changes in a number of ionospheric parameters occur mainly 1-5 days before the Kamchatka earthquakes. The results of the compar-ison of the data of daily monitoring of the ionosphere, including information on TEC, with the data integrated downhole measurements showed a rather high correlation of occurrence of anomalies in the ionosphere before strong earth-quakes with changes in the complex parameters in borehole measurements. As one example, the report presents the results of ionospheric and borehole monitoring obtained in the time neighborhood of the strong (MW = 7.5) the earth-quake that occurred on March 25, 2020 in the area of the Northern Kurils. The results show a high correlation between changes in the specific electrical resis-tivity of the Geospace in the area of the PGP with variations in the TEC and the formation of a number of other anomalies in the ionosphere a few days be-fore the earthquake. These results indicate that it is possible to determine fairly reliably the beginning of the final stage of preparation for a strong earthquake. Currently, methods based on atmospheric parameters monitoring are used quite successfully for predictive estimates of the epicenter and magnitude of an earth-quake: the method of chemical potential corrections for measurements at an altitude of ∼ 100 m, as well as data from measurements of outgoing long-wave infrared radiation (OLR) at the level of the upper edge of clouds (heights of 10 -15 km).


Talanta ◽  
2010 ◽  
Vol 82 (5) ◽  
pp. 1802-1808 ◽  
Author(s):  
Xiyun Luo ◽  
Yu Wang ◽  
Lingyi Zhang ◽  
Gengen He ◽  
Weibing Zhang ◽  
...  

1998 ◽  
Vol 16 (1-2) ◽  
pp. 45-57 ◽  
Author(s):  
Dimitrije Voronjec ◽  
Dragi Antonijevic

1997 ◽  
Vol 469 ◽  
Author(s):  
A. J. Franz ◽  
J. L. Gland

ABSTRACTDetermination of transport mechanisms and energetics in amorphous silicon presents an interesting modeling challenge. Transport in amorphous silicon films is likely to involve energetically distributed traps and mobile species, as in the case of hydrogen and electron diffusion. Detailed kinetic models using discrete energy levels have been developed, however, the density of states of the diffusing species in amorphous silicon is likely to be continuous and distributed, due to the amorphous nature of the films. We have developed a mean-field, equilibrium based model which utilizes a continuous density of states for the diffusing species. The transport in amorphous silicon is modeled as a function of a gradient in the quasi-chemical potential, rather than concentration, of the diffusing species. The model is applicable when the local equilibration processes are fast relative to the transport process. This approach is extremely numerically efficient, as well as flexible, allowing for modeling of tracer experiments, such as deuterium diffusion in a-Si:H films, and possible changes in density of states with time, temperature, and diffusing species concentration. We demonstrate the utility of the model by simulating hydrogen evolution from a-Si:H films.


2019 ◽  
Vol 20 (4) ◽  
pp. 345-353
Author(s):  
Ya.S. Budzhak ◽  
T. Wacławski

This paper presents an elementary model of a crystal and its thermodynamic equilibrium state. It was shown that the thermodynamic characteristics of the crystal at this state are described by the Gibbs grand thermodynamic potential. If the crystal is removed away from the equilibrium state, then in this state it will be described by the set of kinetic properties, and these properties are statistically calculated with the use of the non-equilibrium Gibbs grand thermodynamic potential. Crystals’ thermodynamic and kinetic properties have analytical dependence on the current carriers dispersion law and chemical potential of these carriers. In this work, it was shown that the determination of the dispersion law and chemical potential – these are complicated problems of statistical and kinetic theories of crystals’ properties.


1997 ◽  
Vol 90 (3) ◽  
pp. 483-488 ◽  
Author(s):  
By P. BRYK ◽  
A. PATRYKIEJEW ◽  
O. PIZIO ◽  
S. SOKOLOWSKI

2005 ◽  
Vol 237-240 ◽  
pp. 843-848 ◽  
Author(s):  
Georgette Petot-Ervas ◽  
C. Petot ◽  
Jean Marc Raulot ◽  
J. Kusinski

This paper concerns an analysis of the transport processes at high temperature in anionic conducting oxides subjected to a chemical potential gradient or an applied electrical field. The general equations are given. The principle of the cationic kinetic demixing under a “generalized“ thermodynamical potential gradient is reviewed. Experimental results obtained with yttria-doped zirconia are reported. An experimental procedure for the determination of the oxygen diffusion coefficient in ionic and semiconducting oxides is also described. The results obtained with yttriastabilized zirconia are compared to both self diffusion and conductivity data. This has allowed us to obtain information concerning the defect structure.


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