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A Fast Random Number Generator based on MTJ

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Random numbers are essential in many information technologies, especially those concerning cyber security. Nowadays, most random numbers are the pseudo random numbers generated by mathematical algorithms. A compact, fast, and true random number generator (TRNG) is highly desirable.

张家斌、陈锡恒硕士论文答辩

与会者合影2

2022年5月23日,张家斌和陈锡恒两位同学成功举行了线上硕士论文答辩,论文题目分别是《基于COMSOL的时域与频域微磁学模拟研究》和《基于微磁学理论的磁结构调控与应用》。答辩委员会成员包括同济刘要稳教授、苏州纳米所曾中明研究院、天津大学兰金副教授、复旦大学吴义政教授。

两位同学经过共两个多小时的报告和质询答辩,答辩委员会一致建议授予张家斌和陈锡恒两位同学硕士学位。恭喜张家斌和陈锡恒!



A Hopfield neural network in magnetic films with natural learning

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In order to develop its ultimate potential, artificial intelligence must shift from the software-based towards hardware-based neuromorphic algorithms. For the artificial neural network, it requires materials and devices that are capable of emulating neuron-like activation and synapses with reprogrammable weights.


© Jiang Xiao 2014