Memristive arrangements of nanofluidic pores
We demonstrate that nanofluidic diodes in multipore membranes show a memristive
behavior that can be controlled not only by the amplitude and frequency of the external …
behavior that can be controlled not only by the amplitude and frequency of the external …
Dynamic Memristors for Physical Reservoir Computing
Q Zhang, W Ouyang, X Wang, F Yang, J Chen, Z Wen… - Nanoscale, 2024 - pubs.rsc.org
Reservoir computing (RC) has garnered considerable attention for its efficient handling of
temporal signal and lower training costs. As a nonlinear dynamical system, RC can map low …
temporal signal and lower training costs. As a nonlinear dynamical system, RC can map low …
Versatile NbOx‐Based Volatile Memristor for Artificial Intelligent Applications
D Ju, S Kim - Advanced Functional Materials, 2024 - Wiley Online Library
To achieve cost‐effectiveness, researchers are exploring various memristors for their
adaptation in neuromorphic computing. Recent studies have focused on developing …
adaptation in neuromorphic computing. Recent studies have focused on developing …
Intrinsic Voltage Offsets in Memcapacitive Biomembranes Enable High-Performance Physical Reservoir Computing
Reservoir computing is a brain-inspired machine learning framework for processing
temporal data by mapping inputs into high-dimensional spaces. Physical reservoir …
temporal data by mapping inputs into high-dimensional spaces. Physical reservoir …
Dynamic Memristors for Temporal Signal Processing
F Song, H Shao, J Ming, J Sun, W Li… - Advanced Materials …, 2024 - Wiley Online Library
The rapid advancement of neuromorphic computing demands innovative hardware
solutions capable of efficiently mimicking the functionality of biological neural systems. In …
solutions capable of efficiently mimicking the functionality of biological neural systems. In …