Bhaswar Chakrabarti

TL;DR: In this paper, the authors demonstrate a neural network using a transistor-free passive memristor crossbar array, offering potential circuit miniaturisation and energy savings, and demonstrate operation of one-hidden layer perceptron classifier entirely in the mixed-signal integrated hardware, comprised of two passive 20 × 20 metal-oxide memristive crossbar arrays, board-integrated with discrete conventional components.

TL;DR: A neural network is demonstrated using a transistor-free passive memristor crossbar array, offering potential circuit miniaturisation and energy savings, and achieves classification fidelity within 3% of that obtained in simulations, when using ex-situ training.

TL;DR: The integrated crosspoint memristors are optimized for analog computing applications allowing successful forming and switching of all 200 devices in the demonstrated crossbar circuit, and, most importantly, precise tuning of the devices' conductance values within the dynamic range of operation.

TL;DR: This work demonstrates a hybrid 3D CMOL circuit with 2 layers of memristive crossbars monolithically integrated on a pre-fabricated CMOS substrate, which is the first demonstration of a functional 3DCMOL hybrid circuit.

TL;DR: In this article, the random telegraph noise (RTN) related read instability in resistive random access memory (RRAM) was evaluated by employing the RTN peak-to-peak (P-p) amplitude as a figure of merit (FoM).