Large spiking neural networks (SNNs) require ultralow power and low variability hardware for neuromorphic computing applications. Recently, a band-to-band tunneling (BTBT)-based integrator was proposed, enabling the sub-kHz ...

This work presents a density functional theory (DFT) study of substitutional and adsorption-based halogen (I or F) doping of WS2-based transistors to enhance their contact properties. Substitutional doping of the WS2 ...

This paper proposes a novel 5T Dual Port Gain Cell (5T-DPGC) embedded DRAM design for digital in-memory computing (IMC). The proposed 5T-DPGC-eDRAM cell enables the execution of N-input logical operations (specifically ...

In this work, we understand the post-deposition anneal temperature effects on structural and electrical (leakage current and trap density) properties of epitaxial Gd2O3 film grown on Si (111) substrate using a cost-effective ...

This paper proposes a smart hybrid energy management system (EMS) with optimized coordination for an AC microgrid integrated to the utility distribution grid. The proposed EMS incorporates a hybrid scheme of rule based ...

With the advent of technological ramifications for the transportation electrification sector, electric vehicles and hybrid electric vehicles are becoming more popular. The progress in the technological and research development ...

Dynamic performance of an induction motor suffers due to its complicated control. The interdependence of a phase quantity with other phases makes its control more complex. Hence, a transformation is performed from a ...

In the quest to further improve the performance of battery electric vehicles (BEVs), one of the most critical objectives is to increase the reliability and efficiency of energy storage systems. In spite of their promising ...

This work presents a computationally efficient approach for extracting compact model parameters with minimal training requirements. Bayesian optimization (BO) is employed in multiple stages to predict the optimum compact ...