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[学术报告]Media Optimization for 3D Microwave-Assisted Magnetic Recording via Response Surface Methodology - Chan KheongSann教授
2018-12-08 08:54   审核人:

报告题目:Media Optimization for 3D Microwave-Assisted Magnetic Recording via Response Surface Methodology

报告人:Chan KheongSann教授 (南京工程学院)

报告时间:2018年12月13日(星期四),下午 14:00 - 15:00

报告地点:大学城校区工学一号馆201

报告摘要:

In this presentation, I will talk about some work on optimizing media for 3-dimensional magnetic recording (3DMR). 3DMR is a magnetic recording technology where multiple layers of media are stacked one on top of the other. Each layer in the 3D-stack requires the ability to be written to, and read back from independently from the other layers in the stack. The proposed way of writing to multiple layers, is to use the MAMR (microwave assisted magnetic recording) principle to target different layers in the stack. When the media-stack is hit with one frequency, a particular layer responds to this frequency and becomes "enabled" for writing. The write field then writes only on the layers being targeted by the appropriate microwave frequency. Here we will discuss the optimization process of the media stack and optimization of the spin-torque oscillator that generates the microwave assisting signals for 3D-MAMR.

这次报告将讨论有关优化三维磁记录(3DMR)介质的一些工作。3DMR是一种磁记录技术,其中多层介质的堆叠方式是一层堆叠在另一层之上。3D堆栈中的每个层都需要能够独立于堆栈中的其他层进行写入和回读。提出的多层写入的方法是使用MAMR(微波辅助磁记录)原理来对准堆栈中的不同层。当媒体堆栈被一个频率命中时,一个特定层会响应该频率,并变为“启用”以进行写入。仅在该层被适当的微波频率作为目标时,然后在该区域写入。我们为了使3D-MAMR生成微波辅助信号,而讨论媒介堆栈的优化过程和自旋扭矩振荡器的优化。

报告人简介:

Chan Kheong Sann received his bachelors from North western University in 1996 and his PhD from the National University of Singapore in 2000 and is currently a professor at Nanjing Institute of Technology (NJIT) in China. His research interests are in coding and signal processing for recording channels, channel modeling, and detection/decoding for wireless communications. His research work has contributed to the information storage industrial consortium (INSIC) and advanced storage technology consortium (ASTC) in the US. In 2009, he was awarded the INSIC Technical achievement award for his work on advanced channel modeling, and has been granted two recent ASTC sponsored projects in 2015 and 2016. He was awarded an NRF grant in 2014 to explore novel joint detection/decoding schemes for satellite channels. In 2017, he transferred to the Nanjing Institute of Technology and was the recipient of the Jiangsu Distinguished Professor Award.

Chan Kheong Sann于1996年在西北大学获得学士学位,并在2000年于新加坡国立大学获得博士学位,现任职中国南京工程学院教授。研究方向主要是记录信道的编码和信号处理,信道建模以及无线通信的检测/译码。他的研究工作为美国的the information storage industrial consortium(INSIC)和advanced storage technology consortium (ASTC)做出了贡献。2009年,因先进的信道建模工作而被授予INSIC技术成就奖,并在2015年和2016年获得了两个ASTC赞助项目。2014年获得NRF资助研究卫星频道的新型联合检测/译码方案。2017年,获得江苏省杰出教授奖。

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