Journal articles: 'Conductivity anomaly'

1

Parkinson, W. D., and R. Hermanto. "The Tamar conductivity anomaly." Exploration Geophysics 17, no. 1 (March 1986): 34–35. http://dx.doi.org/10.1071/eg986034.

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Parkinson, W. D., R. Hermanto, J. Sayers, N. L. Bindoff, H. W. Dosso, and W. Nienaber. "The Tamar conductivity anomaly." Physics of the Earth and Planetary Interiors 52, no. 1-2 (October 1988): 8–22. http://dx.doi.org/10.1016/0031-9201(88)90053-2.

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3

Schäfer, A., L. Houpt, H. Brasse, and N. Hoffmann. "The North German Conductivity Anomaly revisited." Geophysical Journal International 187, no. 1 (August 24, 2011): 85–98. http://dx.doi.org/10.1111/j.1365-246x.2011.05145.x.

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4

AMMARI, HABIB, FAOUZI TRIKI, and CHUN-HSIANG TSOU. "Numerical determination of anomalies in multifrequency electrical impedance tomography." European Journal of Applied Mathematics 30, no. 3 (May 17, 2018): 481–504. http://dx.doi.org/10.1017/s0956792518000244.

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The multifrequency electrical impedance tomography consists in retrieving the conductivity distribution of a sample by injecting a finite number of currents with multiple frequencies. In this paper, we consider the case where the conductivity distribution is piecewise constant, takes a constant value outside a single smooth anomaly, and a frequency dependent function inside the anomaly itself. Using an original spectral decomposition of the solution of the forward conductivity problem in terms of Poincaré variational eigenelements, we retrieve the Cauchy data corresponding to the extreme case of a perfect conductor, and the conductivity profile. We then reconstruct the anomaly from the Cauchy data. The numerical experiments are conducted using gradient descent optimization algorithms.

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5

Milligan, P. R., A. White, and F. H. Chamalaun. "Extension of the Eyre Peninsula Conductivity Anomaly." Exploration Geophysics 20, no. 2 (1989): 187. http://dx.doi.org/10.1071/eg989187.

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Twenty-two digitally recording fluxgate magnetometers measuring short-period natural time variations of the geomagnetic field were deployed during 1988 at 54 sites to define the northward extension of the Eyre Peninsula Conductivity Anomaly (EPCA). The southern portion of this zone of high electrical conductivity was initially mapped during the early 1980s; it trends inland just to the east of north from the southern extremity of the peninsula, at nearly 90� to the continental shelf edge.The 1988 data show that the axis of the anomaly in the north initially swings to the east, and then turns NNW, following the major structural trends in the Precambrian basement of the Gawler Block. Short-period geomagnetic variations observed in stacked magnetograms display a significant amplitude and phase change in the vertical (Z) and total field (F) components across the anomaly axis, while the horizontal variation fields (D and H) are enhanced along the axis. These features are consistent with a concentration of current in the crust.Transfer-functions relating the anomalous vertical to normal horizontal geomagnetic variation fields are expressed in the form of vectors and hypothetical event contours, and these clearly delineate the surface position of the anomaly axis.The EPCA is coincident with a broad band of seismic activity, and a continuous conductive zone such as this must be formed along a significant structure within the Precambrian crust. The zone probably delineates the boundary between the essentially non-conductive Archean crystalline basement to the west and the multiply deformed Proterozoic metasediments of the Hutchison Group to the east. Its presence is important in understanding the tectonic development of this potentially economic zone.Zones such as the EPCA can also introduce errors of several nT into aeromagnetic surveys; data from closely-spaced magnetometer arrays may be used to accurately predict and eliminate such errors.

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Cann, David P., Ross Martin, Christi Taylor, and Naratip Vittayakorn. "Conductivity anomaly in CuInGaO4 and CuIn2Ga2O7 ceramics." Materials Letters 58, no. 16 (June 2004): 2147–51. http://dx.doi.org/10.1016/j.matlet.2004.01.013.

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7

Kumar, Pradeep, and H. Eugene Stanley. "Thermal Conductivity Minimum: A New Water Anomaly." Journal of Physical Chemistry B 115, no. 48 (December 8, 2011): 14269–73. http://dx.doi.org/10.1021/jp2051867.

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8

Sauer, H. M. "On a conductivity anomaly in nanoscaled metals." Nanostructured Materials 6, no. 5-8 (January 1995): 759–62. http://dx.doi.org/10.1016/0965-9773(95)00169-7.

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9

Mao, Zhiqiang, Chieh-Hung Chen, Suqin Zhang, Aisa Yisimayili, Huaizhong Yu, Chen Yu, and Jann-Yenq Liu. "Locating Seismo-Conductivity Anomaly before the 2017 MW 6.5 Jiuzhaigou Earthquake in China Using Far Magnetic Stations." Remote Sensing 12, no. 11 (June 1, 2020): 1777. http://dx.doi.org/10.3390/rs12111777.

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Changes in the underlying conductivity around hypocenters are generally considered one of the promising mechanisms of seismo-electromagnetic anomaly generation. Parkinson vectors are indicators of high-conductivity materials and were utilized to remotely monitor conductivity changes during the MW 6.5 Jiuzhaigou earthquake (103.82°E, 33.20°N) on 8 August 2017. Three-component geomagnetic data recorded in 2017 at nine magnetic stations with epicenter distances of 63–770 km were utilized to compute the azimuths of the Parkinson vectors based on the magnetic transfer function. The monitoring and background distributions at each station were constructed by using the azimuths within a 15-day moving window and over the entire study period, respectively. The background distribution was subtracted from the monitoring distribution to mitigate the effects of underlying inhomogeneous electric conductivity structures. The differences obtained at nine stations were superimposed and the intersection of a seismo-conductivity anomaly was located about 70 km away from the epicenter about 17 days before the earthquake. The anomaly disappeared about 7 days before and remained insignificant after the earthquake. Analytical results suggested that the underlying conductivity close to the hypocenter changed before the Jiuzhaigou earthquake. These changes can be detected simultaneously by using multiple magnetometers located far from the epicenter. The disappearance of the seismo-conductivity anomaly after the earthquake sheds light on a promising candidate of the pre-earthquake anomalous phenomena.

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10

Zhang, Xuan, Zhao-Xi Wang, Haomiao Xie, Ming-Xing Li, Toby J. Woods, and Kim R. Dunbar. "A cobalt(ii) spin-crossover compound with partially charged TCNQ radicals and an anomalous conducting behavior." Chemical Science 7, no. 2 (2016): 1569–74. http://dx.doi.org/10.1039/c5sc03547c.

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11

Rokityansky, I., V. Babak, and A. Tereshyn. "On the Carpathian electrical conductivity anomaly depth study." Geofizicheskiy Zhurnal 36, no. 3 (November 23, 2014): 146–59. http://dx.doi.org/10.24028/gzh.0203-3100.v36i3.2014.116062.

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12

Popkov, Igor, Antony White, Graham Heinson, Steven Constable, Peter Milligan, and F. E. M. (Ted) Lilley. "Electromagnetic investigation of the Eyre Peninsula conductivity anomaly." Exploration Geophysics 31, no. 1-2 (March 2000): 187–91. http://dx.doi.org/10.1071/eg00187.

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13

Jones, Alan G., and Peter J. Savage. "North American Central Plains conductivity anomaly goes east." Geophysical Research Letters 13, no. 7 (July 1986): 685–88. http://dx.doi.org/10.1029/gl013i007p00685.

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14

Yamamura, H. "Electrical conductivity anomaly around fluorite–pyrochlore phase boundary." Solid State Ionics 158, no. 3-4 (March 2003): 359–65. http://dx.doi.org/10.1016/s0167-2738(02)00874-3.

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15

Fujishiro, Hiroyuki, and Manabu Ikebe. "Thermal conductivity anomaly in La0.52Ca0.48MnO3 under applied field." Physica B: Condensed Matter 378-380 (May 2006): 499–500. http://dx.doi.org/10.1016/j.physb.2006.01.216.

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16

Chamalaun, F. H., F. E. M. Lilley, and L. J. Wang. "Mapping the Carpentaria conductivity anomaly in northern Australia." Physics of the Earth and Planetary Interiors 116, no. 1-4 (December 1999): 105–15. http://dx.doi.org/10.1016/s0031-9201(99)00126-0.

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17

Constable, S. C. "Resistivity studies over the Flinders conductivity anomaly, South Australia." Geophysical Journal International 83, no. 3 (December 1, 1985): 775–86. http://dx.doi.org/10.1111/j.1365-246x.1985.tb04337.x.

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18

Shen, Shun-Qing, Chang-An Li, and Qian Niu. "Chiral anomaly and anomalous finite-size conductivity in graphene." 2D Materials 4, no. 3 (July 20, 2017): 035014. http://dx.doi.org/10.1088/2053-1583/aa77b9.

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19

Mishchenko, E. G. "Minimal conductivity in graphene: Interaction corrections and ultraviolet anomaly." EPL (Europhysics Letters) 83, no. 1 (June 12, 2008): 17005. http://dx.doi.org/10.1209/0295-5075/83/17005.

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20

He Peimo, Xu Yabo, Zhang Xuanjia, and Li Wenzhou. "Anomaly of high temperature conductivity on C60 single crystal." Solid State Communications 89, no. 4 (January 1994): 373–74. http://dx.doi.org/10.1016/0038-1098(94)90602-5.

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21

Ando, Tsuneya, Yisong Zheng, and Hidekatsu Suzuura. "Dynamical Conductivity and Zero-Mode Anomaly in Honeycomb Lattices." Journal of the Physical Society of Japan 71, no. 5 (May 15, 2002): 1318–24. http://dx.doi.org/10.1143/jpsj.71.1318.

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22

Du, Xingxin. "Electrical conductivity anomaly in the Lanzhou-Xi’an-Zhengzhou zone." Acta Seismologica Sinica 1, no. 3 (June 1988): 60–68. http://dx.doi.org/10.1007/bf02652495.

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23

Guo, Yingxing, Jun Zheng, Aiyu Zhu, and Tao Zhu. "Numerical simulation of the graphite effect on the electrical conductivity of the upper mantle." Geophysical Journal International 229, no. 2 (December 28, 2021): 1122–32. http://dx.doi.org/10.1093/gji/ggab523.

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SUMMARY The origin of high-conductivity anomalies in the deep Earth is one of the hot issues in geoscience research. The presence of graphite is a possible reason, but the effects of the volume fraction and geometry of graphite on the high-conductivity anomaly in the upper mantle are still controversial. Based on the possible morphology of graphite in the uppermost mantle, graphite–olivine–orthopyroxene assemblage models are constructed and their conductivities are calculated by a finite-element method. The results show that when graphite is isolated from each other, temperature is the main factor that leads to a change in electrical conductivity. When graphite is in contact with each other, increases in the diameter/thickness ratio (β), orientation arrangement along the direction of conduction, and a mixture of powdered and disc-shaped graphite can significantly cause an increase in electrical conductivity. We found that a threshold value of graphite content exists at which the model conductivity suddenly increases. The threshold decreases significantly with increasing β. A model with β larger than 25 could explain the high-conductivity anomaly in the upper mantle.

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24

Kämmlein, Marion, Wolfgang Bauer, and Harald Stollhofen. "The Franconian Basin thermal anomaly, SE Germany revised: New thermal conductivity and uniformly corrected temperature data." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 171, no. 1 (April 17, 2020): 21–44. http://dx.doi.org/10.1127/zdgg/2020/0204.

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25

Щетников, О. П., Н. В. Мельникова, А. Н. Бабушкин, and В. М. Кисеев. "Теплопроводность и термоэдс соединений системы Cu-Ge-As-Se." Журнал технической физики 91, no. 1 (2021): 46. http://dx.doi.org/10.21883/jtf.2021.01.50271.156-20.

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The effect of temperatures (300 - 400 K) and concentrations on electrical conductivity, thermoelectric power, and thermal conductivity of crystalline materials based on copper chalcogenides with the general formula (GeSe)1-x (CuAsSe2)x is analyzed. The mechanisms of heat transfer are determined. The non-monotonicity of the temperature dependence of the thermal conductivity with an anomaly at 358 K. The thermoelectric figure of merit ZT is calculated.

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26

Jankowski, Jerzy, Waldemar Jóźwiak, and Jan Vozár. "Arguments for ionic nature of the Carpathian electric conductivity anomaly." Acta Geophysica 56, no. 2 (March 4, 2008): 455–65. http://dx.doi.org/10.2478/s11600-008-0004-3.

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27

Barbashov, V. I., G. G. Levchenko, E. V. Nesova, and N. E. Pismenova. "Low-Temperature Anomaly in Ionic Conductivity of Scandia-Stabilized Zirconia." ECS Transactions 32, no. 1 (December 17, 2019): 5–9. http://dx.doi.org/10.1149/1.3641831.

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28

Fan, Hua, Leire del Campo, Valérie Montouillout, and Mohammed Malki. "Ionic conductivity and boron anomaly in binary lithium borate melts." Journal of Non-Crystalline Solids 543 (September 2020): 120160. http://dx.doi.org/10.1016/j.jnoncrysol.2020.120160.

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29

Rankin, D., and F. Pascal. "A gap in the North American Central Plains conductivity anomaly." Physics of the Earth and Planetary Interiors 60, no. 1-4 (January 1990): 132–37. http://dx.doi.org/10.1016/0031-9201(90)90255-v.

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30

Fan, Guohua, Zuowen Gu, Tongqi Yao, and Kejia Zhu. "Geomagnetic variation anomaly and electric conductivity structure beneath Yunnan, China." Acta Seismologica Sinica 5, no. 4 (November 1992): 815–23. http://dx.doi.org/10.1007/bf02651029.

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31

Bodoky, Tamás, Márta Kis, István Kummer, Károly Posgay, László Sõrés, and György Don. "Is the Magyarmecske telluric conductivity anomaly a buried impact structure?" Central European Geology 50, no. 3 (September 2007): 199–223. http://dx.doi.org/10.1556/ceugeol.50.2007.3.2.

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32

Tuyến, Đoàn Văn, and Đinh Văn Toàn. "ĐẶC ĐIỂM CẤU TRÚC ĐỘ DẪN ĐIỆN VÀ MỐI QUAN HỆ VỚI DỊ THƯỜNG ĐỊA NHIỆT Ở ĐỚI ĐỨT GÃY SÔNG HỒNG." VIETNAM JOURNAL OF EARTH SCIENCES 33, no. 2 (December 22, 2011): 119–25. http://dx.doi.org/10.15625/0866-7187/33/2/286.

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Structural features of Electrical conductivity and its relation to anomaly of geothermal heat flow in the Red River Fault zoneOn the Red River plain, anomalies of geothermal heat flows are high enough like as in rift zones, many geothermal hot water sources are distributing largely in the region. It possibly related to the deep activities in the low crust of the Earth. In the 1996, the Institute of Geological Sciences (Vietnam Academy of Science and Technology) under cooperation with the Paris Institute of Physic of the Earth (France) were conducted the survey by magnetotelluric soundings (MTS) for studying deep structures of the Red River Fault zone (RRFZ) in the region.The paper presents results of data re-interpretation of 8 MTS distributing along the profile about 75km in length, started from Luong Son Village (SW site) going through Hanoi City and ended in Bac Ninh town (NE site), perpendicular crossing the main structures of RRFZ. Received results are 2D structural cross-section to 100km depth, reflecting features with high electrical conductivity of Red River - Chay River subzone and Lo River fault crossing the “crystallized” surface and Moho discontinuity. One anomaly structure of high electrical conductivity is determined under the Red River - Chay River subzone at the depth 90km. It is permitting to suggest possibly the presence of one anomaly of high temperature relating to the “intrusion” of mantle here.By analyzing the features of the high electrical conductivity structures caused by fracture and temperature factors inthe crust and mantle, it is allow to explain that, the anomaly of geothermal heat flow and geothermal hot water sources inRed River plain are supported heat from high temperature mantle sources under the Red River - Chay River subzone.

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33

Ferrand, Thomas P. "Conductive Channels in the Deep Oceanic Lithosphere Could Consist of Garnet Pyroxenites at the Fossilized Lithosphere–Asthenosphere Boundary." Minerals 10, no. 12 (December 10, 2020): 1107. http://dx.doi.org/10.3390/min10121107.

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Magnetotelluric (MT) surveys have identified anisotropic conductive anomalies in the mantle of the Cocos and Nazca oceanic plates, respectively, offshore Nicaragua and in the eastern neighborhood of the East Pacific Rise (EPR). Both the origin and nature of these anomalies are controversial as well as their role in plate tectonics. The high electrical conductivity has been hypothesized to originate from partial melting and melt pooling at the lithosphere–asthenosphere boundary (LAB). The anisotropic nature of the anomaly likely highlights high-conductivity channels in the spreading direction, which could be further interpreted as the persistence of a stable liquid silicate throughout the whole oceanic cycle, on which the lithospheric plates would slide by shearing. However, considering minor hydration, some mantle minerals can be as conductive as silicate melts. Here I show that the observed electrical anomaly offshore Nicaragua does not correlate with the LAB but instead with the top of the garnet stability field and that garnet networks suffice to explain the reported conductivity values. I further propose that this anomaly actually corresponds to the fossilized trace of the early-stage LAB that formed near the EPR about 23 million years ago. Melt-bearing channels and/or pyroxenite underplating at the bottom of the young Cocos plate would transform into garnet-rich pyroxenites with decreasing temperature, forming solid-state high-conductivity channels between 40 and 65 km depth (1.25–1.9 GPa, 1000–1100 °C), consistently with experimental petrology.

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34

Saintenoy, Albane C., and Albert Tarantola. "Ground‐penetrating radar: Analysis of point diffractors for modeling and inversion." GEOPHYSICS 66, no. 2 (March 2001): 540–50. http://dx.doi.org/10.1190/1.1444945.

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The three electromagnetic properties appearing in Maxwell’s equations are dielectric permittivity, electrical conductivity and magnetic permeability. The study of point diffractors in a homogeneous, isotropic, linear medium suggests the use of logarithms to describe the variations of electromagnetic properties in the earth. A small anomaly in electrical properties (permittivity and conductivity) responds to an incident electromagnetic field as an electric dipole, whereas a small anomaly in the magnetic property responds as a magnetic dipole. Neither property variation can be neglected without justification. Considering radiation patterns of the different diffracting points, diagnostic interpretation of electric and magnetic variations is theoretically feasible but is not an easy task using ground‐penetrating radar. However, using an effective electromagnetic impedance and an effective electromagnetic velocity to describe a medium, the radiation patterns of a small anomaly behave completely differently with source‐receiver offset. Zero‐offset reflection data give a direct image of impedance variations while large‐offset reflection data contain information on velocity variations.

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35

Menvielle, M., and P. Tarits. "2-D or 3-D interpretation of conductivity anomalies: example of the Rhine-Graben conductivity anomaly." Geophysical Journal International 84, no. 2 (February 1, 1986): 213–26. http://dx.doi.org/10.1111/j.1365-246x.1986.tb04354.x.

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36

Narikiyo, Osamu. "Spectral function method for Hall conductivity of incoherent metals." International Journal of Modern Physics B 31, no. 14 (March 2017): 1750112. http://dx.doi.org/10.1142/s0217979217501120.

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Using a model spectral function of the electron, the Hall conductivity in the normal metallic state of the Pr[Formula: see text]CexCuO4 (PCCO) superconductor is calculated neglecting the current vertex-correction. The result is qualitatively consistent with the experiment. Consequently, the reason becomes clear why the Fermi-liquid theory fails to explain the anomaly of the Hall conductivity. The inconsistency of the fluctuation-exchange approximation also becomes clear.

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37

Hördt, Andreas, Vladimir L. Druskin, Leonid A. Knizhnerman, and Kurt‐Martin Strack. "Interpretation of 3-D effects in long‐offset transient electromagnetic (LOTEM) soundings in the Münsterland area/Germany." GEOPHYSICS 57, no. 9 (September 1992): 1127–37. http://dx.doi.org/10.1190/1.1443327.

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The interpretation of long‐offset transient electromagnetic (LOTEM) data is usually based on layered earth models. Effects of lateral conductivity variations are commonly explained qualitatively, because three‐dimensional (3-D) numerical modeling is not readily available for complex geology. One of the first quantitative 3-D interpretations of LOTEM data is carried out using measurements from the Münsterland basin in northern Germany. In this survey area, four data sets show effects of lateral variations including a sign reversal in the measured voltage curve at one site. This sign reversal is a clear indicator of two‐dimensional (2-D) or 3-D conductivity structure, and can be caused by current channeling in a near‐surface conductive body. Our interpretation strategy involves three different 3-D forward modeling programs. A thin‐sheet integral equation modeling routine used with inversion gives a first guess about the location and strike of the anomaly. A volume integral equation program allows models that may be considered possible geological explanations for the conductivity anomaly. A new finite‐difference algorithm permits modeling of much more complex conductivity structures for simulating a realistic geological situation. The final model has the zone of anomalous conductivity aligned below a creek system at the surface. Since the creeks flow along weak zones in this area, the interpretation seems geologically reasonable. The interpreted model also yields a good fit to the data.

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38

Lucas, Andrew, Richard A. Davison, and Subir Sachdev. "Hydrodynamic theory of thermoelectric transport and negative magnetoresistance in Weyl semimetals." Proceedings of the National Academy of Sciences 113, no. 34 (August 10, 2016): 9463–68. http://dx.doi.org/10.1073/pnas.1608881113.

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We present a theory of thermoelectric transport in weakly disordered Weyl semimetals where the electron–electron scattering time is faster than the electron–impurity scattering time. Our hydrodynamic theory consists of relativistic fluids at each Weyl node, coupled together by perturbatively small intervalley scattering, and long-range Coulomb interactions. The conductivity matrix of our theory is Onsager reciprocal and positive semidefinite. In addition to the usual axial anomaly, we account for the effects of a distinct, axial–gravitational anomaly expected to be present in Weyl semimetals. Negative thermal magnetoresistance is a sharp, experimentally accessible signature of this axial–gravitational anomaly, even beyond the hydrodynamic limit.

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39

Chamalaun, F. H. "Electrical conductivity structures and anomalies: extension of the Flinders Ranges anomaly." Exploration Geophysics 17, no. 1 (March 1986): 31. http://dx.doi.org/10.1071/eg986031.

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40

Marsiglio, Frank. "Phenomenology of the anomaly in the conductivity sum rule below Tc." Physica C: Superconductivity 460-462 (September 2007): 902–3. http://dx.doi.org/10.1016/j.physc.2007.03.379.

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41

Chatterjee, Achintya Kr, Dipen Lahiri, and Robin Ghosh. "Electrical Conductivity Anomaly in Binary Liquid Mixtures near the Critical Point." Japanese Journal of Applied Physics 31, Part 1, No. 7 (July 15, 1992): 2151–54. http://dx.doi.org/10.1143/jjap.31.2151.

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42

Robertson, Kate, Ben Kay, Lachlan Loader, Graham Heinson, and Stephan Thiel. "Defining the Eyre Conductivity Anomaly with the Tumby Bay MT transect." ASEG Extended Abstracts 2019, no. 1 (November 11, 2019): 1–3. http://dx.doi.org/10.1080/22020586.2019.12072992.

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43

Pérez-Flores, Marco A., Ricardo G. Antonio-Carpio, E. Gómez-Treviño, Ian Ferguson, and S. Méndez-Delgado. "Imaging of 3D electromagnetic data at low-induction numbers." GEOPHYSICS 77, no. 4 (July 1, 2012): WB47—WB57. http://dx.doi.org/10.1190/geo2011-0368.1.

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We expressed electromagnetic measurements at low induction numbers as spatial averages of the subsurface electrical conductivity distribution and developed an algorithm for the recovery of the latter in terms of the former. The basis of our approach is an integral equation whose averaging kernel is independent of the conductivity distribution. That is, the recovery of conductivity from the measurements leads to a linear inverse problem. Previous work in one and two dimensions demonstrated that using a kernel independent of conductivity leads to reasonably good results in quantitative interpretations. This study extended the approach to 3D models and to data taken along several profiles over a given area. The algorithm handles vertical and horizontal magnetic dipoles with multiple separations for appropriate depth discrimination. The approximation also handles issues like negative conductivity measurements, which commonly appear when crossing near-surface conductors. This happens particularly when using vertical magnetic dipoles; whose averaging kernel has significant negative weights in the space between the dipoles, something that does not happen for the horizontal dipoles. In general, the more complex the kernel, the more complicated the signature of any given anomaly. This makes qualitative interpretations of pseudosections somewhat difficult when dealing with more than one conductive or resistive body. The algorithm was validated using synthetic data for imaging data from horizontal or vertical coils or from a combination of them. Imaging of field data from a mine tailings site recovered a shallow 3D conductive anomaly associated with the tailings.

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44

Qu, Chong, Zhiguo Zhou, Zhiwen Liu, Shuli Jia, Liyong Ma, and Mary Immaculate Sheela L. "A Multisensor Data Fusion Based Anomaly Detection (Ammonia Nitrogen) Approach for Ensuring Green Coastal Environment." Advances in Materials Science and Engineering 2022 (August 11, 2022): 1–6. http://dx.doi.org/10.1155/2022/4632137.

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Great changes have been brought about by the coastal environment when the economy develops rapidly. Coastal environmental monitoring is the basis and technical guarantee for coastal environmental protection supervision and management. It is one of the important tasks to detect and timely discover coastal seawater anomalies. Usually, a single sensor cannot determine whether the coastal environment or ship operation is an anomaly. Recently, an unmanned surface vehicle for coastal environment monitoring was developed, and stacked autoencoders are used for seawater anomaly detection using multisensor data fusion methods. The multisensor data of pH, conductivity, and ammonia nitrogen are employed to judge the anomaly of seawater. The mean, standard deviation, mean square root, and normalized power spectrum features of multisensor data are extracted, and a stacked autoencoder is employed to fuse these features for anomaly detection. The proposed method is feasible and effective for anomaly detection of coastal water quality and ship operation. Compared with other commonly used methods, the proposed method has a higher recall, precision, and F1 score performance.

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45

Hammami, Khaled, Taher Mhiri, Xavier Le Goff, and Khaled JARRAYA. "Correlation between the ionic conductivity and the relaxation mechanisms during the 436 K- transition in nitrate salt RbNO3: analysis by impedance spectroscopy." JOURNAL OF ADVANCES IN CHEMISTRY 10, no. 3 (April 4, 2014): 2447–56. http://dx.doi.org/10.24297/jac.v10i3.2276.

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The measurements of the complex impedance Z*, the conductivity σ, the dielectric permittivity ε’r, and the complex modulus M* were carried out on the RbNO3 compound at frequencies ranging between 1 and 106 Hz. In fact, the conductivity follows the Arrhenius law in the different temperature ranges σT = σ0exp (-ΔEσ/kT). Actually, the resulting curve shows an anomaly between 425 and 436 K and a sudden increase in conductivity to 436 K causing σ to pass from 1.6x10-6 Ω-1.cm-1 to 9.3x10-5 Ω-1.cm-1. This behavior clearly confirms the ionic character of the phase transition at this temperature. The main objective of this research study is to show the correlation between the ionic conductivity and the relaxation mechanisms during this transition.

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46

Kallaev S. N., Bakmaev A. G., Omarov Z. M., and Reznichenko L. A. "Thermophysical properties of multiferroics Bi-=SUB=-1-x-=/SUB=-Tm-=SUB=-x-=/SUB=-FeO-=SUB=-3-=/SUB=-." Physics of the Solid State 64, no. 2 (2022): 281. http://dx.doi.org/10.21883/pss.2022.02.52979.221.

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Investigations of the heat capacity, thermal diffusivity, and thermal conductivity of multiferroics Bi1-xTmxFeO3 (x=0, 0.05, 0.10, 0.20) have been carried out in the high temperature range of 300-1200 K. and thermal conductivity in the region of phase transitions. The temperature dependences of the specific heat for compositions with x=0.10 and 0.20 exhibit an additional anomaly characteristic of the phase transition at T=580 K. The dominant mechanisms of phonon heat transfer in the region of ferroelectric and antiferromagnetic phase transitions are considered. The temperature dependence of the average phonon mean free path is determined. Keywords: multiferroics, heat capacity, thermal diffusivity, thermal conductivity.

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47

Budach, Ingmar, Heinrich Brasse, and Daniel Díaz. "Crustal-scale electrical conductivity anomaly beneath inflating Lazufre volcanic complex, Central Andes." Journal of South American Earth Sciences 42 (March 2013): 144–49. http://dx.doi.org/10.1016/j.jsames.2012.11.002.

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48

Skákalová, V., S. Košina, B. Koreň, J. Annus, and M. Omastová. "Anomaly in the temperature dependence of the electrical conductivity of foam polypyrrole." Synthetic Metals 36, no. 2 (June 1990): 253–62. http://dx.doi.org/10.1016/0379-6779(90)90058-s.

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49

Gold, A. "Enhanced plasmon anomaly in the dynamical conductivity of heterostructures with large spacer." Physical Review B 41, no. 6 (February 15, 1990): 3608–19. http://dx.doi.org/10.1103/physrevb.41.3608.

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50

Flower, Gnanaprakasm Little, Maddireddy Srinivasa Reddy, Musugu Venkata Ramana Reddy, and Nalluri Veeraiah. "Influence of Chromium Ions on the Dielectric Properties of the PbO-Ga2O3-P2O5 Glass System." Zeitschrift für Naturforschung A 62, no. 5-6 (June 1, 2007): 315–23. http://dx.doi.org/10.1515/zna-2007-5-613.

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PbO-Ga2O3-P2O5 glasses containing different amounts of Cr2O3, ranging from 0 to 1.0 mol%, were prepared. The dielectric properties (viz., constant ε’, loss tanδ , ac conductivity σac over a wide range of frequencies and temperatures, dielectric breakdown strength) have been studied as a function of the concentration of chromium ions. An anomaly has been observed in the dielectric properties of these glasses, when the concentration of Cr2O3 is about 0.4 mol%. This anomaly has been explained in the light of different oxidation states of chromium ions with the aid of data of differential thermal analysis and optical absorption spectra of these glasses.

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Journal articles on the topic 'Conductivity anomaly'

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