This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Ying Liu +6 more
wiley +1 more source
Unified Steep-Slope Switching and Non-Volatile Memory in a Complementarily Stabilized van der Waals Ferroelectric Transistor. [PDF]
Lee S +5 more
europepmc +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Tailoring Ge Nanocrystals via Ag-Catalyzed Chemical Vapor Deposition to Enhance the Performance of Non-Volatile Memory. [PDF]
Guo C +7 more
europepmc +1 more source
Comprehensive Performance Quasi-Non-Volatile Memory Compatible with Large-Scale Preparation by Chemical Vapor Deposition. [PDF]
Yang K, Liu H, Wang S, Yu W, Han T.
europepmc +1 more source
Interlayer sliding in the RuO2Zn2F2 bilayer induces ferroelectricity and enables reversible valley polarization switching. The electric dipole and valley‐resolved band edges are intimately coupled, revealing sliding ferroelectricity as a powerful mechanism for electrical control of valley degrees of freedom in 2D materials.
Djamel Bezzerga +3 more
wiley +1 more source
Quantum dot-based non-volatile memory: a comprehensive outlook. [PDF]
Taher A +7 more
europepmc +1 more source
High-performance ferroelectric non-volatile memory based on La-doped BiFeO3 thin films. [PDF]
Dai W +5 more
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Progress of emerging non-volatile memory technologies in industry. [PDF]
Hellenbrand M +2 more
europepmc +1 more source

