[ Professor ] Yoichiro Tanaka
Information Storage・Computing Systems
[ Associate Professor ] Simon Greaves
Recording Theory Computation
Our main interest lies in high-density information storage technology. The amount of data generated in the form of multimedia, IoT and AI information increases dramatically every year. Next generation advanced ICT and information storage systems with high performance, high capacity and intelligence are required. In this group, we are conducting research into high density information storage based on perpendicular magnetic recording and magnetic devices invented in this laboratory. Magnetic materials and devices are modelled using micromagnetic simulations. Our aim is fast, low power consumption, high capacity terabit storage (over 10 T bits/inch2 areal density), in which the size of each stored bit of information occupies an area of less than a few nm by a few nm. In addition, we are investigating advanced information storage and computing systems to handle Peta byte class mass data analytics by closely unifying both data storage and processing.
Information Storage・Computing Systems(Prof. Y. Tanaka)
- Information Storage System Architecture
- Advanced High Capacity Hard Disk Drives
- Close Integration of Storage and Computing for Intelligent Systems
In this research field, we are conducting research on a wide range of materials, devices and systems aiming at the establishment of new information storage systems with high performance, high capacity and intelligence based on the fundamental storage functions of data recording and storage. With system level application development in sight, we are exploring intelligent, future information storage systems by integrating advanced technologies such as recording materials, devices and memories.
Recording Theory Computation(Assoc. Prof. Greaves)
- Micromagnetic simulations of information storage devices
- High areal density hard disk drives
- Heads and disks for magnetic storage
- Other magnetic storage devices
Micromagnetic simulations are used to model the behavior of magnetic materials used in data storage applications. To model a recording medium the individual magnetic grains of the medium can be simulated. Then, using a head field distribution from a finite element model, recording simulations can be carried out. The design of the head and medium can be optimized through the model.
Other magnetic devices can also be modeled. One example is magnetic random access memory (MRAM), a non-volatile magnetic storage device. Some other micromagnetic simulation examples are shown. Magnetic nanowires, two dimensional spin ices, domain wall pinning and energy-assisted recording are some of the topics we have worked on.