Results 91 to 100 of about 30,828 (307)

A Phase-Shifted Square Wave Modulation (PS-SWM) for Modular Multilevel Converter (MMC) and DC Transformer for Medium Voltage Applications

IEEE transactions on power electronics, 2019
In this letter, a phase-shifted square wave modulation strategy is proposed for modular multilevel converters (MMCs) as well as dc transformers for medium-voltage applications.
Ran Mo, Hui Li, Yanjun Shi
semanticscholar   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Particle Swarm Optimization and Modular Multilevel Converter Communication in Electrical Applications with Machine Learning Algorithm. [PDF]

Comput Intell Neurosci, 2022
Kamal S, Sayeed F, Ahanger TA, Subbalakshmi C, Kalidoss R, Singh N, Nuagah SJ.   +6 more
europepmc   +1 more source

Performance Analysis of Medium-Voltage Grid Integration of PV Plant Using Modular Multilevel Converter

IEEE transactions on energy conversion, 2019
Modular multilevel converter (MMC) topology has emerged as an attractive solution for Photovoltaic (PV) applications. Such a structure due to its inherent modularity allows distributed architecture of utility scale PV plant.
A. Acharya, Mattia Ricco, D. Sera, Remus Teoderscu, L. Norum   +4 more
semanticscholar   +1 more source

Highly‐Uniform Passive Crossbar Arrays of Resistive Switching Random Access Memory (RRAM) for In‐Memory Computing Applications

Advanced Electronic Materials, EarlyView.
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci, P. Mannocci, M. Porzani, D. Bridarolli, F. Carletti, M. Farronato, D. Ielmini   +6 more
wiley   +1 more source

Health-Aware Energy Management of Energy Storage Systems in Modular Power Converters

IEEE Open Journal of Vehicular Technology
Supercapacitors, characterized by high power density and relatively long cycle life, are mainly used for high-power and transient applications. However, their lifespan can be significantly affected by loading and temperature factors.
Alaa Hijazi, Robert Alfie S. Pena, Pascal Venet   +2 more
doaj   +1 more source

Modular Multilevel Converter With Partially Rated Integrated Energy Storage Suitable for Frequency Support and Ancillary Service Provision

IEEE Transactions on Power Delivery, 2019
Grid scale energy storage systems (ESSs) have received significant interest in recent years due to their ability to reduce/defer investment in transmission/distribution networks, as well their ability to act as primary reserve sources and provide ...
P. Judge, T. Green
semanticscholar   +1 more source

Environmental Effects on RRAM Cells Based on 2D Halide Perovskite Materials

Advanced Electronic Materials, EarlyView.
RRAM offers high speed, scalability, and low power, positioning it as a next‐generation non‐volatile memory. Two‐dimensional halide perovskites show promise due to tunable optoelectronic properties and flexible processing but suffer from environmental sensitivity. This review examines degradation from humidity, temperature, light, and strain, discusses
Mojtaba Joodaki, Babitha Arun, Hartmut Hillmer, Chih‐Chieh Hsu   +3 more
wiley   +1 more source

Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis

Advanced Energy Materials, EarlyView.
This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Ce Cui, John Wang
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source