PrMnO3 porous nanostructures: Synthesis and structural, optical and magnetic properties

CJ Aguilar, E Mosquera, F Gracia, JE Diosa… - Materials Research …, 2022 - Elsevier
Porous nanostructures of the PrMnO 3 system were synthesized by the sol-gel method using
cetyltrimethylammonium bromide (CTAB) as surfactant, and two different solvents, ethanol …

Sensitivity of ZnO Film-Based X-ray Sensors: A Comprehensive Study on the Effect of Thickness of ZnO Layer

J Das, JM Kalita - ACS Applied Materials & Interfaces, 2024 - ACS Publications
For all types of photosensors, efficient absorption of photons of particular interest is very
essential. We report the effect of thickness of the ZnO layer in ZnO film-based X-ray sensors …

Relevance of Hidden Transients in the Steady State Memristor Measurements

J Sakhuja, K Kaushik, V Saraswat… - IEEE Electron …, 2024 - ieeexplore.ieee.org
Highly non-linear selector (S) devices integrated with emerging memristor (R) devices are
vital to mitigate sneak path leakage currents in crossbar arrays. For a functional 1S1R bit …

Integration of Non-Filamentary Pr0.7Ca0.3MnO3– Based Memristor With Silicon-PN Junction

J Sakhuja, S Rowtu, S Patil, S Lashkare… - IEEE Electron Device …, 2023 - ieeexplore.ieee.org
Crossbar memristor arrays are gaining interest in the semiconductor industry for high-
density storage and in-memory computing applications. For efficient array operations, highly …

Investigating Transient Characteristics of Volatile Hysteresis and Self-Heating of PrMnO3-Based RRAM

J Sakhuja, S Lashkare, K Jana… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
PrMnO 3 (PMO)-based resistive random access memory (RRAM) shows selector-less
behavior due to high-nonlinearity. Recently, the nonlinearity, along with volatile hysteresis …

Limitations on Pitch Design due to Thermal Crosstalk in Pr1-xCaxMnO3 RRAM Crossbar Arrays

U Uttarwar, K Kaushik, J Sakhuja… - … on Simulation of …, 2023 - ieeexplore.ieee.org
Networks designed with memristor crossbar arrays have been proposed for Artificial
Intelligence (AI) and Machine Learning (ML)-based applications for enhanced network …