2023年第70回応用物理学会春季学術講演会

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6 薄膜・表面 » 6.3 酸化物エレクトロニクス

[18a-A302-1~6] 6.3 酸化物エレクトロニクス

2023年3月18日(土) 10:00 〜 11:30 A302 (6号館)

酒井 朗(阪大)

10:30 〜 10:45

[18a-A302-3] Modeling of Memristive Devices Using Phase-Field Method

John Sevic1,2、〇Nobuhiko P Kobayashi3,4,5,6 (1.Electrical Engineering、2.Embry-Riddle Aeronautical University、3.Nanostructured Energy Conversion Technology and Research (NECTAR)、4.Electrical and Computer Engineering Department、5.Baskin School of Engineering、6.University of California Santa Cruz)

キーワード:resistive switch, memristive, phase field

Resistive switching films exhibit persistent electrical conductivity modulation, central to their operation as next-generation non-volatile memory and neuromorphic computing. Various qualitative models have been proposed to study transport phenomena of resistive switching films that contain a current filament (CF)–Pre-defined CF model. While the pre-defined CF model provides a useful starting point for further quantitative treatment, a precise computable description of formation and dynamical evolution of CF is largely ignored. In this paper, we propose the use of phase-field formulation–Phase-field CF model–to explore the atomic origins of resistive switching films in memristive devices. In our phase-field CF model, stochastic formation of CF during electroformation is formulated as a diffuse interface problem, which illustrates stochastic characteristics of the formation of CF and suggests ramifications of the percolation threshold in determining current-voltage characteristics.