超伝導クプラートメモリストのトラップ制御伝導と金属分離器移行
Thomas Günkel1,2, Enrique Miranda2, Lluís Balcells1
1Institut de Ciència de Materials de Barcelona (ICMAB-CSIC), Campus de Bellaterra, 08193 Bellaterra, Barcelona, Spain.
まとめ
高温超伝導コップレートメモリストは,神経型コンピューティングのための堅牢なスイッチングを示しています. デュアルトラップモデルは,このメカニズムを説明し,超伝導アーキテクチャと互換性のある冷凍プラットフォームを可能にします.
科学分野:
- マテリアルサイエンス 材料科学
- 凝縮物質物理学 凝縮物質物理学
- 神経科学は神経科学である.
背景:
- メムリスティブデバイスは,ニューロモルフィックコンピューティングにとって極めて重要です.
- 高温超伝導コプレートにおける抵抗性スイッチングメカニズムを理解することは不可欠です.
- イトリウムバリウム銅酸化物 (YBCO) は,これらのデバイスのための有望な材料です.
研究 の 目的:
- YBCO メモリストのレジスティヴスイッチングの顕微鏡のメカニズムを調査する.
- 80~300 Kのメムリストル動作の温度依存性を探求する.
- デバイスの動作におけるインターフェイス層とトラップダイナミクスの役割を明らかにする.
主な方法:
- YBCO メモリストの製造と特徴付け.
- 温度に依存する電流-電圧 (I-V) 測定.
- 伝導機構とトラップ状態の動態の分析.
主要な成果:
- 研究された温度範囲全体でYBCOメモリスターで強固な双極スイッチングが観察されました.
- 特定された温度独立の SET と RESET の電圧.
- 酸素不足のインターフェイスで浅と深いトラップによって調節された,トラップ制御された空間電荷制限伝導を実証した.
- 脱酸素化された界面層の形成を明らかにし,フィールド誘発の金属・断熱器の移行に対する静電制御を可能にしました.
結論:
- 非揮発性スイッチングを説明するためにCuO鎖の断片化を含む二重トラップモデルを提案した.
- クプラートメモリストの機能におけるダイナミック・トラップ状態の重要な役割を強調した.
- 超伝導回路と統合された冷凍性ニューロモルフィックコンピューティングプラットフォームのためのこれらのメモリストの可能性を示しました.
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