Results 81 to 90 of about 2,204,807 (239)

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

Fully Decoupled Branch Energy Balancing Control Method for Modular Multilevel Matrix Converter Based on Sequence Circulating Components

CSEE Journal of Power and Energy Systems
The modular multilevel matrix converter (M3C) is a potential frequency converter for low-frequency AC transmission. However, capacitor voltage control of high-voltage and large-capacity M3C is more difficult, especially for voltage balancing between ...
Zexin Zhao, Weijiang Chen, Zhichang Yang, Guoliang Zhao, Bin Han, Yunfei Xu, Nianwen Xiang, Shulai Wang   +7 more
doaj   +1 more source

Optimization of the passive components of the Modular Multilevel Matrix Converter for Drive Applications [PDF]

, 2012
The Modular Multilevel Matrix Converter (M3C) is a new topology which extends the Modular Multilevel Converter (M2C) family for converters to low speed drive applications. The energy pulsation and therefore the amount of the installed capacitance is very
Kammerer, Felix, Kolb, Johannes, Braun, Michael   +2 more
core   +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

Topologies and control of low-frequency alternating current for offshore wind farms based on modular multilevel matrix converter

The Journal of Engineering, 2019
As a new alternative to power transmission, low-frequency alternating current (LFAC) transmission system has a bright future for offshore wind power transmission.
Chang Yuan, Ruibing Zhou, Ming Tong
doaj   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Rapid Fault Diagnosis of a Back-to-Back MMC-HVDC Transmission System under AC Line Fault

Energies, 2018
The integration of a modular multilevel converter-based high-voltage direct current (MMC-HVDC) transmission system in power networks has led to a high requirement for the rapidity of fault recognition.
Qing Huai, Kaipei Liu, Liang Qin, Jian Le, Kun Wang, Shu Zhu, Yuye Li, Xiaobing Liao, Hua Ding   +8 more
doaj   +1 more source

Motion and Morphology Planning for Autonomous Manipulation in Clutter With a Shape‐Shifting, Variable‐Stiffness Robot

Advanced Intelligent Systems, EarlyView.
A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova, Liuming Qiu, Jose Guadalupe Romero, Li Cheng, Thrishantha Nanayakkara, David Navarro‐Alarcon   +5 more
wiley   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source

Analytical monodromy matrix method for small-signal stability analysis of grid-connected modular multilevel converter systems

International Journal of Electrical Power & Energy Systems
The modular multilevel converter (MMC) has been widely used in high-voltage/high-power applications, e.g., high-voltage direct current transmission. However, its nonlinear time-periodic nature leads to complex harmonic interactions and then complicates ...
Xiaofan Jia, Hua Ye
doaj   +1 more source