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 …

Reservoir computing utilizing a complementary combination of n- and p-channel FeFETs

R Suzuki, K Toprasertpong, R Nakane… - IEEE Electron …, 2024 - ieeexplore.ieee.org
We investigate the potential of physical reservoir computing utilizing a combination of n-
channel FeFETs (n-FeFETs) and p-channel FeFETs (p-FeFETs). We first confirm that the …

Linearly Tunable Optoelectronic Synaptic Transistor for In-Sensor Reservoir Computing

Z Jiang, Z Luo, K Liu, P Jiao, W Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Conventional machine vision systems face challenges, such as data latency and energy
inefficiency in cognitive tasks, primarily due to the discrete architecture of their sensing …

Lithium solid electrolyte-gated oxide transistors-based Schmitt trigger with high thermal resistance

Z Luo, Z Jiang, K Liu, P Jiao… - IEEE Electron Device …, 2024 - ieeexplore.ieee.org
Electrolyte-gated transistors (EGTs) can operate at very low voltages owing to their large
electric-double-layer capacitance. However, the evaporation of water in the electrolyte can …

Enhancing Computing Capacity via Reconfigurable MoS2‐Based Artificial Synapse with Dual Feature Strategy for Wide Reservoir Computing

H Lee, J Oh, W Ahn, M Kang, S Park, H Kim… - Advanced Functional … - Wiley Online Library
Reservoir computing (RC) has garnered considerable interest owing to its uncomplicated
network structure and minimal training costs. Nevertheless, the computing capacity of RC …