人工自旋冰系统的滞后和返回点记忆
Hysteresis and Return Point Memory in Artificial Spin Ice Systems
摘要：
我们研究人工方形和戈薇自旋冰系统的磁滞回线和返回点记忆通过循环施加的偏置力和比较整个磁滞循环的微观有效自旋配置。返回点记忆丧失是由戈薇冰中单个缺陷的运动或方形冰中晶界的运动引起的。在连续的循环中，返回点记忆在戈薇冰中迅速恢复。由于晶界的延伸性质，记忆在方冰中更逐渐地恢复。增加淬火无序的量增加了缺陷密度，但也增强了返回点记忆，因为缺陷变得更容易被捕获。
英文摘要：
We investigate hysteresis loops and return point memory for artificial square and kagome spin ice systems by cycling an applied bias force and comparing microscopic effective spin configurations throughout the hysteresis cycle. Return point memory loss is caused by motion of individual defects in kagome ice or of grain boundaries in square ice. In successive cycles, return point memory is recovered rapidly in kagome ice. Memory is recovered more gradually in square ice due to the extended nature of the grain boundaries. Increasing the amount of quenched disorder increases the defect density but also enhances the return point memory since the defects become trapped more easily.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
