Retention Secured Nonlinear and Self‐Rectifying Analog Charge Trap Memristor for Energy‐Efficient Neuromorphic Hardware

Research article (Advanced Science, 2022) · cited 65× · AI/ML
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Retention Secured Nonlinear and Self‐Rectifying Analog Charge Trap Memristor for Energy‐Efficient Neuromorphic Hardware

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Retention Secured Nonlinear and Self‐Rectifying Analog Charge Trap Memristor for Energy‐Efficient Neuromorphic Hardware is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Retention Secured Nonlinear and Self‐Rectifying Analog Charge Trap Memristor for Energy‐Efficient Neuromorphic Hardware. Retrieved May 24, 2026, from https://4ort.xyz/entity/retention-secured-nonlinear-and-selfrectifying-analog-charge-trap-memristor-for-energyefficient-neuromorphic-hardware
MLA “Retention Secured Nonlinear and Self‐Rectifying Analog Charge Trap Memristor for Energy‐Efficient Neuromorphic Hardware.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retention-secured-nonlinear-and-selfrectifying-analog-charge-trap-memristor-for-energyefficient-neuromorphic-hardware.
BibTeX @misc{4ortxyz_retention-secured-nonlinear-and-selfrectifying-analog-charge-trap-memristor-for-energyefficient-neuromorphic-hardware_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Retention Secured Nonlinear and Self‐Rectifying Analog Charge Trap Memristor for Energy‐Efficient Neuromorphic Hardware}}, year = {2026}, url = {https://4ort.xyz/entity/retention-secured-nonlinear-and-selfrectifying-analog-charge-trap-memristor-for-energyefficient-neuromorphic-hardware}, note = {Accessed: 2026-05-24}}
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