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• W2023118356 abstract "The dynamics of magnetic hysteresis, including the training effect and the field sweep rate dependence of the exchange bias, is experimentally investigated in exchange-coupled potassium split graphene nanoribbons (GNRs). We find that, at low field sweep rate, the pronounced absolute training effect is present over a large number of cycles. This is reflected in a gradual decrease of the exchange bias with the sequential field cycling. However, at high field sweep rate above 0.5 T/min, the training effect is not prominent. With the increase in field sweep rate, the average value of exchange bias field grows and is found to follow power-law behavior. The response of the exchange bias field to the field sweep rate variation is linked to the difference in the time it takes to perform a hysteresis loop measurement compared with the relaxation time of the anti-ferromagnetically aligned spins. The present results may broaden our current understanding of magnetism of GNRs and would be helpful in establishing the GNRs-based spintronic devices." @default.
• W2023118356 created "2016-06-24" @default.
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• W2023118356 date "2012-10-01" @default.
• W2023118356 modified "2023-10-16" @default.
• W2023118356 title "Dynamic response of exchange bias in graphene nanoribbons" @default.
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• W2023118356 doi "https://doi.org/10.1063/1.4755840" @default.
• W2023118356 hasPublicationYear "2012" @default.
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