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Статті в журналах з теми "Exchang bias"

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Автор: Grafiati

Опубліковано: 8 червня 2024

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1

Nogués, J., and Ivan K. Schuller. "Exchange bias." Journal of Magnetism and Magnetic Materials 192, no. 2 (February 1999): 203–32. http://dx.doi.org/10.1016/s0304-8853(98)00266-2.

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2

Candeloro, P., H. Schultheiß, H. T. Nembach, B. Hillebrands, S. Trellenkamp, C. Dautermann, and S. Wolff. "Orthogonal exchange bias field directions in exchange bias microstructures." Applied Physics Letters 88, no. 19 (May 8, 2006): 192510. http://dx.doi.org/10.1063/1.2202743.

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3

Miltényi, P., M. Gierlings, M. Bamming, U. May, G. Güntherodt, J. Nogués, M. Gruyters, C. Leighton, and Ivan K. Schuller. "Tuning exchange bias." Applied Physics Letters 75, no. 15 (October 11, 1999): 2304–6. http://dx.doi.org/10.1063/1.124998.

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4

Nordblad, Per. "Tuning exchange bias." Nature Materials 14, no. 7 (June 23, 2015): 655–56. http://dx.doi.org/10.1038/nmat4331.

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5

Kiwi, Miguel. "Exchange bias theory." Journal of Magnetism and Magnetic Materials 234, no. 3 (September 2001): 584–95. http://dx.doi.org/10.1016/s0304-8853(01)00421-8.

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6

Kato, Takeshi, Yasuyuki Kudo, Hiroyuki Mizuno, and Yoshinori Hiroi. "Regional Inequality Simulations Based on Asset Exchange Models with Exchange Range and Local Support Bias." Applied Economics and Finance 7, no. 5 (July 24, 2020): 10. http://dx.doi.org/10.11114/aef.v7i5.4945.

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To gain insights into the problem of regional inequality, we proposed new regional asset exchange models based on existing kinetic income-exchange models in economic physics. We did this by setting the spatial exchange range and adding bias to asset fraction probability in equivalent exchanges. Simulations of asset distribution and Gini coefficients showed that suppressing regional inequality requires, firstly an increase in the intra-regional economic circulation rate, and secondly the narrowing down of the exchange range (inter-regional economic zone). However, avoiding over-concentration of assets due to repeat exchanges requires adding a third measure; the local support bias (distribution norm). A comprehensive solution incorporating these three measures enabled shifting the asset distribution from over-concentration to exponential distribution and eventually approaching the normal distribution, reducing the Gini coefficient further. Going forward, we will expand these models by setting production capacity based on assets, path dependency on two-dimensional space, bias according to disparity, and verify measures to reduce regional inequality in actual communities.

7

Ahmadvand, Hossein, Hadi Salamati, Parviz Kameli, Asok Poddar, Mehmet Acet, and Khalil Zakeri. "Exchange bias in LaFeO3nanoparticles." Journal of Physics D: Applied Physics 43, no. 24 (June 3, 2010): 245002. http://dx.doi.org/10.1088/0022-3727/43/24/245002.

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8

Torres, Felipe, Rafael Morales, Ivan K. Schuller, and Miguel Kiwi. "Dipole-induced exchange bias." Nanoscale 9, no. 43 (2017): 17074–79. http://dx.doi.org/10.1039/c7nr05491b.

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The discovery of dipole-induced exchange bias (EB), switching from negative to positive sign, is reported in systems where the antiferromagnet and the ferromagnet are separated by a paramagnetic spacer (AFM–PM–FM).

9

Kim, Joo-Von, and R. L. Stamps. "Defect-modified exchange bias." Applied Physics Letters 79, no. 17 (October 22, 2001): 2785–87. http://dx.doi.org/10.1063/1.1413731.

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10

Nowak, U., A. Misra, and K. D. Usadel. "Modeling exchange bias microscopically." Journal of Magnetism and Magnetic Materials 240, no. 1-3 (February 2002): 243–47. http://dx.doi.org/10.1016/s0304-8853(01)00813-7.

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11

Nogués, J., J. Sort, V. Langlais, V. Skumryev, S. Suriñach, J. S. Muñoz, and M. D. Baró. "Exchange bias in nanostructures." Physics Reports 422, no. 3 (December 2005): 65–117. http://dx.doi.org/10.1016/j.physrep.2005.08.004.

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12

Stamps, R. L. "Mechanisms for exchange bias." Journal of Physics D: Applied Physics 33, no. 23 (November 10, 2000): R247—R268. http://dx.doi.org/10.1088/0022-3727/33/23/201.

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13

Stamps, R. L. "Mechanisms for exchange bias." Journal of Physics D: Applied Physics 34, no. 3 (January 26, 2001): 444. http://dx.doi.org/10.1088/0022-3727/34/3/501.

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14

Eames, Michael J., Steven M. Glover, and Jane Jollineau Kennedy. "Stock Recommendations as a Source of Bias in Earnings Forecasts." Behavioral Research in Accounting 18, no. 1 (January 1, 2006): 37–51. http://dx.doi.org/10.2308/bria.2006.18.1.37.

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Recent scandals and controversies have focused substantial attention on the behavior of financial analysts. Responses such as the Sarbanes-Oxley Act, new regulations at securities exchanges, and massive legal settlements are consistent with the perception that analysts' research and stock recommendations exhibit significant self-serving bias. While anecdotal and legal evidence support the allegations that some analysts have intentionally mislead the investing public, recent archival research suggests unintentional cognitive processes also contribute to systematic bias in analysts' forecasts (Eames et al. 2002). However, studies based on stock-market data cannot distinguish between unintentional cognitive processes and intentional bias stemming from economic incentives (e.g., trade boosting). In a laboratory experiment we eliminate economic incentives and find that cognitive processes unintentionally lead to earnings forecast bias. Our results suggest that recent regulations and policy changes by Congress, the Securities and Exchange Commission, exchange markets, and brokerage firms will not totally eliminate bias in analysts' earnings forecasts.

15

Lyons, Richard K., and Andrew K. Rose. "Explaining Forward Exchange Bias...Intraday." Journal of Finance 50, no. 4 (September 1995): 1321. http://dx.doi.org/10.2307/2329355.

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16

Meirzadeh, Elena, Sae Young Han, and Xavier Roy. "Exchange Bias from Frustrated Spins." ACS Central Science 7, no. 8 (July 27, 2021): 1295–97. http://dx.doi.org/10.1021/acscentsci.1c00849.

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17

Zhi-Jie, Xiong, Wang Huai-Yu, and Ding Ze-Jun. "Theoretical investigation of exchange bias." Chinese Physics 16, no. 7 (July 2007): 2123–30. http://dx.doi.org/10.1088/1009-1963/16/7/055.

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18

LYONS, RICHARD K., and ANDREW K. ROSE. "Explaining Forward Exchange Bias…Intraday." Journal of Finance 50, no. 4 (September 1995): 1321–29. http://dx.doi.org/10.1111/j.1540-6261.1995.tb04061.x.

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19

Blamire, M. G. "Unconventional Exchange Bias and Multiferroics." IEEE Transactions on Magnetics 44, no. 7 (July 2008): 1946–50. http://dx.doi.org/10.1109/tmag.2008.924541.

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20

Balaev, D. A., A. A. Krasikov, A. A. Dubrovskiy, S. I. Popkov, S. V. Stolyar, R. S. Iskhakov, V. P. Ladygina, and R. N. Yaroslavtsev. "Exchange bias in nano-ferrihydrite." Journal of Applied Physics 120, no. 18 (November 14, 2016): 183903. http://dx.doi.org/10.1063/1.4967912.

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21

Mata, G. J., E. Pestana, H. Dreysse, and Miguel Kiwi. "A quantum exchange bias model." Physica B: Condensed Matter 398, no. 2 (September 2007): 262–66. http://dx.doi.org/10.1016/j.physb.2007.04.090.

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22

Markovich, V., I. Fita, A. Wisniewski, R. Puzniak, P. Iwanowski, C. Martin, G. Jung, and G. Gorodetsky. "Exchange bias effect in CaMn0.9Nb0.1O3." Materials Chemistry and Physics 164 (August 2015): 170–76. http://dx.doi.org/10.1016/j.matchemphys.2015.08.039.

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23

Xu, M. H., Z. H. Wang, D. W. Zhang, and Y. W. Du. "Exchange bias effect in Tb0.4Dy0.6MnO3." Journal of Magnetism and Magnetic Materials 340 (August 2013): 1–4. http://dx.doi.org/10.1016/j.jmmm.2013.03.022.

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24

Dubowik, J., and I. Gościańska. "Micromagnetic Approach to Exchange Bias." Acta Physica Polonica A 127, no. 2 (February 2015): 147–52. http://dx.doi.org/10.12693/aphyspola.127.147.

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25

De Clercq, Jonas, Arne Vansteenkiste, Medjid Abes, Kristiaan Temst, and Bartel Van Waeyenberge. "Modelling exchange bias with MuMax3." Journal of Physics D: Applied Physics 49, no. 43 (September 30, 2016): 435001. http://dx.doi.org/10.1088/0022-3727/49/43/435001.

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26

Borisov, Pavel, Andreas Hochstrat, Xi Chen, and Wolfgang Kleemann. "Multiferroically composed exchange bias systems." Phase Transitions 79, no. 12 (December 2006): 1123–33. http://dx.doi.org/10.1080/01411590601067318.

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27

Ziese, M., E. Pippel, E. Nikulina, M. Arredondo, and I. Vrejoiu. "Exchange coupling and exchange bias in La0.7Sr0.3MnO3–SrRuO3superlattices." Nanotechnology 22, no. 25 (May 16, 2011): 254025. http://dx.doi.org/10.1088/0957-4484/22/25/254025.

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28

Hu, Jing-guo, Guojun Jin, R. L. Stamps, and Yu-qiang Ma. "Measurement of exchange anisotropy in exchange-bias bilayers." Journal of Magnetism and Magnetic Materials 301, no. 1 (June 2006): 238–44. http://dx.doi.org/10.1016/j.jmmm.2005.06.028.

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29

Yu, J. Y., P. Li, J. R. Xu, K. Huang, L. Zhang, and L. Wang. "Exchange-bias and exchange-spring coupling in manganite nanostructures." Applied Physics Letters 114, no. 24 (June 17, 2019): 243108. http://dx.doi.org/10.1063/1.5109694.

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30

Lin, Chao-Cheng, Chih-Huang Lai, Ruo-Fan Jiang, and Han-Ping D. Shieh. "High interfacial exchange energy in TbFeCo exchange-bias films." Journal of Applied Physics 93, no. 10 (May 15, 2003): 6832–34. http://dx.doi.org/10.1063/1.1556932.

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31

Xu, Qingyu, Yan Sheng, Xiaobo Xue, Xueyong Yuan, Zheng Wen, and Jun Du. "Exchange bias in BiFeO3/La0.67Sr0.33MnO3 bilayers." Japanese Journal of Applied Physics 53, no. 8S3 (July 10, 2014): 08NM01. http://dx.doi.org/10.7567/jjap.53.08nm01.

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32

Noh, Eun Sun, and Hyuck Mo Lee. "Exchange-Bias of NiFe/NiO Bilayer." Materials Science Forum 475-479 (January 2005): 2231–34. http://dx.doi.org/10.4028/www.scientific.net/msf.475-479.2231.

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Exchange-bias (Hex) of NiFe/NiO bilayers grown epitaxially on MgO(100) and MgO(111) have been measured in order to understand exchange biasing phenomena more clearly. According to HRXRD, the separate reflections of MgO and NiO were observed, which implied that NiO layers grew epitaxially on MgO substrates. The rms roughness (Rrms) of NiO on MgO(100) measured by AFM was 1.79 Å while that of NiO on MgO(111) was 17.85 Å. Despite a higher Rrms, the value of Hex, 85 Oe in the case of NiFe/NiO on MgO(111) was larger than that of NiFe/NiO on MgO(100), 47 Oe, probably due to stronger effect of (111) texture of NiO surface. But low Hex of NiFe/NiO on MgO(111) implied that exchange biasing was generated by not only upcompensated spins but also compensated spins of NiO. Hex of NiFe/NiO bilayer grown on Si(100) was 118 Oe. According to SEM, grain size of NiO surface grown on Si(100) was very small, which mean its domain size was also very small. The explanation of the effect of domain size was consistent with random field model.

33

Nogués, J., L. Morellon, C. Leighton, M. R. Ibarra, and Ivan K. Schuller. "Antiferromagnetic spin flop and exchange bias." Physical Review B 61, no. 10 (March 1, 2000): R6455—R6458. http://dx.doi.org/10.1103/physrevb.61.r6455.

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34

Mihalik, M., M. Antoňák, K. Csach, M. Fitta, M. Mihalik, M. Vavra, and M. Zentková. "Exchange Bias Effect in La1-xAgxMnO3Nanopowders." EPJ Web of Conferences 40 (2013): 15006. http://dx.doi.org/10.1051/epjconf/20134015006.

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35

Fiorani, D., L. Del Bianco, A. M. Testa, and K. N. Trohidou. "Exchange bias in disordered granular systems." Journal of Physics: Condensed Matter 19, no. 22 (May 14, 2007): 225007. http://dx.doi.org/10.1088/0953-8984/19/22/225007.

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36

Shi, Zhong, Jun Du, and Shi-Ming Zhou. "Exchange bias in ferromagnet/antiferromagnet bilayers." Chinese Physics B 23, no. 2 (February 2014): 027503. http://dx.doi.org/10.1088/1674-1056/23/2/027503.

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37

Chen, Xi, Andreas Hochstrat, Pavel Borisov, and Wolfgang Kleemann. "Magnetoelectric exchange bias systems in spintronics." Applied Physics Letters 89, no. 20 (November 13, 2006): 202508. http://dx.doi.org/10.1063/1.2388149.

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38

Vallejo-Fernandez, G., and J. N. Chapman. "Thermal stability of exchange bias nanostructures." Journal of Applied Physics 107, no. 9 (May 2010): 09D704. http://dx.doi.org/10.1063/1.3340451.

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39

Chandra, Sayan, N. A. Frey Huls, M. H. Phan, S. Srinath, M. A. Garcia, Youngmin Lee, Chao Wang, Shouheng Sun, Òscar Iglesias, and H. Srikanth. "Exchange bias effect in Au-Fe3O4nanocomposites." Nanotechnology 25, no. 5 (January 9, 2014): 055702. http://dx.doi.org/10.1088/0957-4484/25/5/055702.

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40

Sort, J., G. Salazar-Alvarez, M. D. Baró, B. Dieny, A. Hoffmann, V. Novosad, and J. Nogués. "Controlling magnetic vortices through exchange bias." Applied Physics Letters 88, no. 4 (January 23, 2006): 042502. http://dx.doi.org/10.1063/1.2165290.

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41

Huang, P. H., C. H. Lai, C. A. Yang, H. H. Huang, T. S. Chin, C. H. Chen, M. D. Lan, H. E. Huang, and H. Y. Bor. "Exchange Bias Between ZnCoO and IrMn." IEEE Transactions on Magnetics 42, no. 10 (October 2006): 3014–16. http://dx.doi.org/10.1109/tmag.2006.879757.

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42

Xu, M. H., Z. H. Wang, L. Z. Liu, Q. Yang, Z. A. Yu, L. J. Shen, W. Zhong, and Y. W. Du. "Exchange bias in LiNi0.5Mn1.5O4–NiO nanocomposites." Materials Research Innovations 19, no. 5 (May 5, 2015): 355–60. http://dx.doi.org/10.1179/1433075x15y.0000000012.

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43

Gao, X., X. P. Qiu, Z. Shi, S. M. Zhou, X. J. Bai, and J. Du. "Exchange bias of NiFe/FeMn nanocaps." Journal of Physics D: Applied Physics 42, no. 6 (March 2, 2009): 065003. http://dx.doi.org/10.1088/0022-3727/42/6/065003.

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44

Mougin, Alexandra, Stéphane Mangin, Jean-Francois Bobo, and Alois Loidl. "New Trends in Magnetic Exchange Bias." European Physical Journal B 45, no. 2 (May 2005): 155. http://dx.doi.org/10.1140/epjb/e2005-00184-5.

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45

Pi, Li, Shixiong Zhang, Shun Tan, and Yuheng Zhang. "Exchange bias-like phenomenon in SrRuO3." Applied Physics Letters 88, no. 10 (March 6, 2006): 102502. http://dx.doi.org/10.1063/1.2182015.

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46

HU, JING-GUO, GUO-JUN JIN, and YU-QIANG MA. "EXCHANGE BIAS IN FERROMAGNETIC/ANTIFERROMAGNETIC BILAYERS." Modern Physics Letters B 15, no. 24 (October 20, 2001): 1087–93. http://dx.doi.org/10.1142/s0217984901002890.

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Анотація:

We present a theoretical investigation on the thickness dependence of exchange bias in ferromagnetic (FM)/antiferromagnetic (AFM) bilayer systems, in which the exchange coupling at the interface between the FM layer and the AFM layer includes both bilinear (direct exchange) and biquadratic (spin-flop) terms. Based on the above model, the basic formula is derived for the first time. From the formula, a lot of interesting facts can be extracted, and a number of recent experimental results can be illustrated. We find that the exchange bias linearly depends on the reciprocal of FM layer thickness. However, another factor is the switching thickness of the AFM layer to display exchange bias, which approaches saturation with a relatively thick AFM layer. In general, the biquadratic term reduces exchange bias. When the biquadratic coupling is properly selected, the discrepancies in the previous theories and experiments can be efficiently eliminated.

47

Sánchez-Marcos, Jorge, M. Ángeles Laguna-Marco, Rocío Martínez-Morillas, Eva Céspedes, Félix Jiménez-Villacorta, Nieves Menéndez, and Carlos Prieto. "Exchange bias in iron oxide nanoclusters." Journal of Physics: Condensed Matter 23, no. 47 (November 10, 2011): 476003. http://dx.doi.org/10.1088/0953-8984/23/47/476003.

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48

Shams, Nazmun N., M. Tofizur Rahman, Yen-Chun Huang, and Chih-Huang Lai. "Exchange bias in CoFe–SiO2granular nanostructure." Journal of Physics D: Applied Physics 42, no. 13 (June 16, 2009): 135002. http://dx.doi.org/10.1088/0022-3727/42/13/135002.

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49

Xi, Haiwen, Robert M. White, and Sergio M. Rezende. "Measurement dependence of the exchange bias." Journal of Applied Physics 87, no. 9 (May 2000): 4960–62. http://dx.doi.org/10.1063/1.373215.

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50

Huang, S., L. R. Shi, H. G. Sun, C. M. Zhu, Z. M. Tian, and S. L. Yuan. "Exchange bias effect in Bi2Fe3AlO9 ceramics." Applied Physics Letters 105, no. 19 (November 10, 2014): 192904. http://dx.doi.org/10.1063/1.4902110.

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