Neuromorphic Devices: Materials, Structures and Bionic Applications. [PDF]
Zhu L, Wan Q.
europepmc +1 more source
Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu +4 more
wiley +1 more source
A deterministic neuromorphic architecture with scalable time synchronization. [PDF]
Li C, Imam N, Manohar R.
europepmc +1 more source
All Organic Fully Integrated Neuromorphic Crossbar Array
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh +2 more
wiley +1 more source
Advancing Flexible Optoelectronic Synapses and Neurons with MXene-Integrated Polymeric Platforms. [PDF]
Xu H, Zeng X, Qadir A.
europepmc +1 more source
Atomistic analysis of ruthenium (Ru) and oxygen vacancy (OV) diffusion in Ta₂O₅‐based memristors is performed. DFT calculations demonstrate interstitial Ru in Ta₂O₅ has lower diffusion barriers and formation energies than OVs, enhancing mobility and stability.
Md. Sherajul Islam +3 more
wiley +1 more source
Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: A Review. [PDF]
Cimarelli C +3 more
europepmc +1 more source
ReRAM/CMOS Array Integration and Characterization via Design of Experiments
This paper proposes the Design of Experiments to characterize arrays of oxide‐based ReRAM devices by exploring the large characterization space efficiently using only a few numbers of experiments. Using in‐house integration of 20 000 ReRAM devices on a CMOS chip, the unconventional optimization approach determines optimized measurement parameters and ...
Imtiaz Hossen +7 more
wiley +1 more source
Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár +12 more
wiley +1 more source
Enhancing Neuromorphic Robustness via Recurrence Resonance: The Role of Shared Weak Attractors in Quantum Logic Networks. [PDF]
Huang Y, Gunji YP.
europepmc +1 more source

