Manipulating Ferroelectricity Without Electrical Bias: A Perspective
Alternatives to electrical bias to control ferroelectric polarization are highly desired for the development of ferroelectric‐based applications. The polarizing role of chemically engineered surfaces, the impact of chemical substitution and mechanical pressure, and light‐induced effects on the final polarization state are highlighted in this short ...
Bixin Yan +3 more
wiley +1 more source
Emerging Nonvolatile Memory Technologies in the Future of Microelectronics. [PDF]
Katehi L +5 more
europepmc +1 more source
Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen +8 more
wiley +1 more source
Hydrazine Intercalation into 2D MoTe<sub>2</sub> Field Effect Transistor as Charge Trapping Sites for Nonvolatile Memory Applications. [PDF]
Yuan L +6 more
europepmc +1 more source
Ultrathin Hafnium‐Based Ferroelectric Devices for In‐Memory Computing Applications
Hafnium‐based ferroelectric devices exhibit advantages in nonvolatile storage, low power consumption, and ultrahigh operation speed, positioning them as strong candidates for constructing hardware neural networks. ABSTRACT The discovery of ferroelectricity in HfO2‐based ferroelectrics at the ultrathin scale has reignited enthusiasm for ferroelectric ...
Chenghong Mo +3 more
wiley +1 more source
Bi<sub>2</sub>O<sub>2</sub>Se-Based Monolithic Floating-Gate Nonvolatile Memory with Enhanced Charge Retention and Switching Performance. [PDF]
Cheng CC +12 more
europepmc +1 more source
Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li +12 more
wiley +1 more source
Flexible BaTiO<sub>3</sub> Ferroelectric Nonvolatile Memory for Neuromorphic Computation. [PDF]
Peng Y +7 more
europepmc +1 more source
This review first introduces the fundamental concepts of artificial synapses and synaptic plasticity, then discusses the device structures and operation mechanisms of optoelectronic synapses based on two‐dimensional transition metal dichalcogenides, highlights their applications in neuromorphic vision systems and computing, and concludes with key ...
Xiaona Sun +3 more
wiley +1 more source
Assessing Design Space for the Device-Circuit Codesign of Nonvolatile Memory-Based Compute-in-Memory Accelerators. [PDF]
Lele AS, Zhang B, Khwa WS, Chang MF.
europepmc +1 more source

