Reversal of the Hall coefficient sign under homogenization
نویسندگان
چکیده
منابع مشابه
Homogenization of the three-dimensional Hall effect and change of sign of the Hall coefficient
The notion of a Hall matrix, associated with a possibly anisotropic conducting material in the presence of a small magnetic field, is introduced. Then, for any material having a microstructure we prove a general homogenization result satisfied by the Hall matrix in the framework of the Hconvergence of Murat-Tartar. Extending a result of Bergman, it is shown that the Hall matrix can be computed ...
متن کاملPseudogap-driven sign reversal of the Hall effect.
We present a calculation of the Hall coefficient in 2H-TaSe(2) and 2H-Cu(0.2)NbS(2) based on their electronic structure extracted from angle-resolved photoemission spectra. The well-known semiclassical approach, based on the solution of the Boltzmann equation, yields the correct value for the normal-state Hall coefficient. Entering the charge density wave state results in the opening of the pse...
متن کاملThe reversal sign.
To cite: Gaete D, LopezRueda A. BMJ Case Rep Published online: [please include Day Month Year] doi:10.1136/bcr-2014204419 DESCRIPTION A 75-year-old man with a history of chronic obstructive pulmonary disease was found in cardiopulmonary arrest. After successful resuscitation the patient was transferred to our institution. On arrival, a non-enhanced brain CTwas performed to assess brain damage, ...
متن کاملاثر هال در نمونههای ابررسانای دمای بالای YBCO آلاییده به CNT
In order to study Hall effect in pure and CNT doped YBCO polycrystalline samples, we have measured longitudinal and transverse voltages at the different magnetic field (0-9T) in the vortex state. We found a sign reversal for pure sample near 3T and double sign reversal of the Hall coefficient for CNT doped sample near 3 and 5T. It can be deduced that CNT doping caused strong flux pinning and H...
متن کاملThe sign of the logistic regression coefficient
Let Y be a binary random variable and X a scalar. Let β̂ be the maximum likelihood estimate of the slope in a logistic regression of Y on X with intercept. Further let x̄0 and x̄1 be the average of sample x values for cases with y = 0 and y = 1, respectively. Then under a condition that rules out separable predictors, we show that sign(β̂) = sign(x̄1− x̄0). More generally, if xi are vector valued the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PAMM
سال: 2007
ISSN: 1617-7061,1617-7061
DOI: 10.1002/pamm.200700493