講演情報
[16a-D61-8]Investigating the origin of cluster spin glass behavior in low-damped garnet-based ferrimagnet towards neuromorphic computation
〇(PC)shamim sarker1, Haining Li1, EMK Ikball Ahamed1, Hiroyasu Yamahara1, Siyi Tang1, Zhiqiang Liao1, Tetsuya Iizuka1, Munetoshi Seki1, Hitoshi Tabata1 (1.Tokyo Univ)
キーワード:
Spin wave、Spin glass、neuromorphic computing
A spin glass (SG) is characterized by a frozen spin state at low temperatures, resulting from competing randomness and frustration of magnetic interactions. This state also demonstrated photoinduced magnetism and an aging memory effect: that is creates a history-dependent property. This unique feature presents an opportunity to replicate the functions of the human brain, leveraging a similar Hamiltonian framework. Our aim is to study the spin dynamics based ultra-low power data carrier (magnon) in the spin glass system at frozen state to implement a reservoir computing system mimicking the ultra-low power operation as human brain. However, the spin frozen state in spin glasses (SG) only manifests at extremely low temperatures, limiting their practical and low-power applications. Consequently, this research primarily aims to explore the potential for developing optimal room temperature spin glass materials by manipulating the disorder within garnet-based ferromagnetic materials. Considering the dynamics of magnetization for further study, we began with yttrium iron garnet (YIG:Y3Fe5O12) due to its exceptionally low Gilbert damping constant.
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