Results 161 to 170 of about 7,322 (252)
Photonic neuromorphic computing using symmetry-protected zero modes in coupled nanolaser arrays. [PDF]
Ji K +4 more
europepmc +1 more source
Monolithic Co‐Integration of Vertical FET and Memristor for 1T1R Cell
This work demonstrates a vertically integrated one‐transistor–one‐memristor (1T1R) cell by stacking a MoS2 vertical field‐effect transistor (VFET) with a mortise–tenon‐shaped (MTS) memristor. This compact architecture not only exhibits highly uniform resistive switching characteristics but also provides a strategy for constructing densely packed ...
Fubo Jiao +15 more
wiley +1 more source
Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing. [PDF]
Jin B, Wang Z, Wang T, Meng J.
europepmc +1 more source
Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter +7 more
wiley +1 more source
Tunable Neuromorphic Computing for Dynamic Multi-Timescale Sensing in Motion Recognition. [PDF]
Bie R +15 more
europepmc +1 more source
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
A non‐destructive, quantitative approach has been developed to explore the nanoscale dynamics of TaOx‐based memristive devices. The utilization of nano‐X‐ray fluorescence analysis enables the direct probing of spatially resolved elemental distributions, including those present in buried layers, that are critical for the resistive switching.
André Wählisch +9 more
wiley +1 more source
Neuromorphic Computing Using Synaptic Plasticity of Supercapacitors. [PDF]
Wang L, Liu X, Zhang G, Qi F, Chen X.
europepmc +1 more source
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
Wafer-scale fabrication of memristive passive crossbar circuits for brain-scale neuromorphic computing. [PDF]
Choi S +4 more
europepmc +1 more source

