Improved Vertex Coloring With NbOₓ Memristor-Based Oscillatory Networks
M Weiher, M Herzig, R Tetzlaff, A Ascoli… - … on Circuits and …, 2021 - ieeexplore.ieee.org
The main focus of this paper is the presentation of reliable methods for the determination of
the optimum coloring of a graph, commonly known in the literature as vertex coloring …
the optimum coloring of a graph, commonly known in the literature as vertex coloring …
Voltage Scaling in Area Scalable Selector-Less PrMnO3 RRAM by N2: O2 Partial Pressure Dependent Annealing
S Lashkare, J Sakhuja… - 2019 IEEE 9th International …, 2019 - ieeexplore.ieee.org
Manganite based Resistance Random Access Memories (RRAM) are attractive as they are
non-volatile, area-scalable, with fast switching and large endurance and retention. However …
non-volatile, area-scalable, with fast switching and large endurance and retention. However …
Control Strategies to Optimize Graph Coloring via M-CNNs with Locally-Active NbOx Memristors
A Ascoli, M Weiher, R Tetzlaff, M Herzig… - … on Modern Circuits …, 2021 - ieeexplore.ieee.org
This work proposes reliable methods for solving issues while solving the vertex coloring
optimisation problem. It has been shown that networks of capacitively-coupled memristor …
optimisation problem. It has been shown that networks of capacitively-coupled memristor …
Investigating Transient Characteristics of Volatile Hysteresis and Self-Heating of PrMnO3-Based RRAM
PrMnO 3 (PMO)-based resistive random access memory (RRAM) shows selector-less
behavior due to high-nonlinearity. Recently, the nonlinearity, along with volatile hysteresis …
behavior due to high-nonlinearity. Recently, the nonlinearity, along with volatile hysteresis …
Fault Tolerance of Oscillatory Neural Network using PMO Oscillator
S Shubham, S Mohanty… - 2024 8th IEEE Electron …, 2024 - ieeexplore.ieee.org
Oscillatory Neural Networks (ONN) are inevitable when it comes to solving combinatorial
optimization problems. This work demonstrates the fault tolerance of the ONN in solving …
optimization problems. This work demonstrates the fault tolerance of the ONN in solving …